Publikationen

[1]	Foti Coleca, Sascha Klement, Thomas Martinetz, and Erhardt Barth. Real-time skeleton tracking for embedded systems. In Mobile Computational Photography, volume 8667D. Proceedings of SPIE, 2013. [ bib \| .pdf ]
[2]	Hans G. Danielmeyer and Thomas Martinetz. The physics of business cycles and inflation. Preprint, 2013. [ bib \| .pdf ]
[3]	Hans G. Danielmeyer and Thomas Martinetz. Predicting economic growth with classical physics and human biology. Preprint, 2013. [ bib \| .pdf ]
[4]	Krishna Kumar Kandaswamy, Ganesan Pugalenthi, Kai-Uwe Kalies, Enno Hartmann, and Thomas Martinetz. EcmPred: Prediction of extracellular matrix proteins based on random forest with maximum relevance minimum redundancy feature selection. Journal of Theoretical Biology, 317:377-383, 2013. [ bib \| http \| .pdf ]
[5]	Mike Wellner, Thomas Käster, Thomas Martinetz, and Erhardt Barth. Optimizing depth-of-eld based on a range map and a wavelet transform. In Mobile Computational Photography, volume 8667D. Proceedings of SPIE, 2013. [ bib \| .pdf ]
[6]	Tim Becker, Daniel Rapoport, and Amir Madany Mamlouk. From timelapse-data to genealogic trees: Using different contrast mechanisms to improve cell tracking. In IEEE International Symposium on Biomedical Imaging (ISBI'12), pages 386-389, 2012. [ bib ]
[7]	T. Binder, F. Kriener, C. Wichner, M. Wille, M. Wellner, T. Kaester, T. Martinetz, and E. Barth. How to make a small phone camera shoot like a big DSLR: creating and fusing multi-modal exposure series. In Human Vision and Electronic Imaging XVII, volume 8291 of Proceedings SPIE, 2012. [ bib \| DOI \| .pdf ]
[8]	Jens Christian Claussen and Ulrich G. Hofmann. Sleep, neuroengineering, and dynamics. Cognitive Neurodynamics, 6:211-214, 2012. [ bib \| http ]
[9]	Michael Dorr, Eleonora Vig, and Erhardt Barth. Colour saliency on video. In J Suzuki and T Nakano, editors, BIONETICS 2010, volume 87 of LNICST, pages 601-606. Springer, 2012. [ bib \| .pdf ]
[10]	Michael Dorr, Eleonora Vig, and Erhardt Barth. Eye movement prediction and variability on natural video data sets. Visual Cognition, 20(4/5):495-514, 2012. [ bib \| .pdf ]
[11]	Jens Hocke, Erhardt Barth, and Thomas Martinetz. Application of non-linear transform coding to image processing. In Bernice E. Rogowitz, Thrasyvoulos N. Pappas, and Huib de Ridder, editors, Human Vision and Electronic Imaging XVII, volume 8291. Proceedings of SPIE, 2012. [ bib \| .pdf ]
[12]	Jens Hocke, Michael Dorr, and Erhardt Barth. A compressed sensing model of peripheral vision. In Bernice E. Rogowitz, Thrasyvoulos N. Pappas, and Huib de Ridder, editors, Human Vision and Electronic Imaging XVII, volume 8291. Proceedings of SPIE, 2012. [ bib \| .pdf ]
[13]	Jens Hocke, Kai Labusch, Erhardt Barth, and Thomas Martinetz. Sparse coding and selected applications. KI - Künstliche Intelligenz, 26(4):349-355, 2012. [ bib \| .pdf ]
[14]	Björn Machner, Michael Dorr, Andreas Sprenger, Janina von der Gablentz, Wolfgang Heide, Erhardt Barth, and Christoph Helmchen. Impact of dynamic bottom-up features and top-down control on the visual exploration of moving real-world scenes in hemispatial neglect. Neuropsychologia, 2012. (in press). [ bib ]
[15]	Jörg Mayer, Hong-Viet V. Ngo, and Heinz Georg Schuster. Dynamical mean-field equations for a neural network with spike timing dependent plasticity. Journal of Statistical Physics, 2012. [ bib ]
[16]	Jörg Mayer, Heinz Georg Shuster, Hong-Viet V. Ngo, Matthias Mölle, and Jan Born. Differential influence of sinusoidal and noisy inputs on synaptic connections in a network with STDP. Europhysics Letters, 98:48005, 2012. [ bib ]
[17]	Hong-Viet V. Ngo, Jens Christian Claussen, Jan Born, and Matthias Mölle. Induction of slow oscillations by rhythmic acoustic stimulation. Journal of Sleep Research, 2012. [ bib ]
[18]	Felix Njap, Jens Christian Claussen, Andreas Moser, and Ulrich G. Hofmann. Modeling effect of gabaergic current in basal ganglia computational model. Cognitive Neurodynamics, 6:333-342, 2012. [ bib \| http ]
[19]	Laura Pomarjanschi, Michael Dorr, and Erhardt Barth. Gaze guidance reduces the number of collisions with pedestrians in a driving simulator. ACM Transactions on Interactive Intelligent Systems, 1(2):8:1-8:14, 2012. ((c) ACM, 2012. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in ACM Transactions on Interactive Intelligent Systems, January 2012.). [ bib \| .pdf ]
[20]	Laura Pomarjanschi, Michael Dorr, Christoph Rasche, and Erhardt Barth. Safer driving with gaze guidance. In J Suzuki and T Nakano, editors, BIONETICS 2010, volume 87 of LNICST, pages 581-586. Springer, 2012. [ bib \| .pdf ]
[21]	Markus Schütt and Jens Christian Claussen. Desynchronizing effect of high-frequency stimulation in a generic cortical network model. Cognitive Neurodynamics, 6:343-351, 2012. [ bib \| http ]
[22]	Henry Schütze, Thomas Martinetz, Silke Anders, and Amir Madany Mamlouk. A Multivariate Approach to Estimate Complexity of FMRI Time Series. In Alessandro E.P. Villa, Wlodzislaw Duch, Péter Érdi, Francesco Masulli, and Günter Palm, editors, Artificial Neural Networks and Machine Learning - ICANN 2012, 22nd International Conference, Lausanne, Switzerland, September 11-14, 2012, Proceedings, Part II, volume 7553 of Lecture Notes in Computer Science, pages 540-547. Springer, 2012. [ bib \| .pdf ]
[23]	Fabian Timm and Erhardt Barth. Novelty detection for the inspection of light-emitting diodes. Expert Systems with Applications, 39(3):3413-3422, 2012. [ bib \| http ]
[24]	Arne Traulsen, Jens Christian Claussen, and Christoph Hauert. Stochastic differential equations for evolutionary dynamics with demographic noise and mutations. Physical Review E, 85:041901, 2012. [ bib \| http \| http ]
[25]	Eleonora Vig, Michael Dorr, and Erhardt Barth. Contribution of spatio-temporal intensity variation to bottom-up saliency. In J Suzuki and T Nakano, editors, BIONETICS 2010, volume 87 of LNICST, pages 469-474. Springer, 2012. [ bib \| .pdf ]
[26]	Eleonora Vig, Michael Dorr, Thomas Martinetz, and Erhardt Barth. Intrinsic dimensionality predicts the saliency of natural dynamic scenes. IEEE Transactions on Pattern Analysis and Machine Intelligence, 34(6):1080-1091, 2012. [ bib \| .pdf ]
[27]	Jörn Voigt, Christopher Krause, Edda Rohwäder, Sandra Saschenbrecker, Melanie Hahn, Maick Danckwardt, Christian Feirer, Konstantin Ens, Kai Fechner, Erhardt Barth, Thomas Martinetz, and Winfried Stöcker. Automated Indirect Immunofluorescence Evaluation of Antinuclear Autoantibodies on HEp-2 Cells. Clinical and Developmental Immunology, 2012:7 pages, 2012. [ bib \| DOI \| .pdf ]
[28]	Arne Weigenand, Thomas Martinetz, and Jens Christian Claussen. The phase response of the cortical slow oscillation. Cognitive Neurodynamics, 6:367-375, 2012. [ bib \| http \| http ]
[29]	Kai Labusch, Erhardt Barth, and Thomas Martinetz. Soft-competitive Learning of Sparse Codes and its Application to Image Reconstruction. Neurocomputing, 74(9):1418-1428, April 2011. [ bib \| .pdf ]
[30]	Tim Becker, Daniel Rapoport, and Amir Madany Mamlouk. Adaptive mitosis detection in large in vitro stem cell populations using timelapse microscopy. In Bildverarbeitung für die Medizin (BVM 2011), Informatik aktuell, pages 49-53, 2011. [ bib ]
[31]	Ingrid Brænne, Jeanette Erdmann, and Amir Madany Mamlouk. SNPboost: Interaction Analysis and Risk Prediction on GWA Data. In Artificial Neural Networks - ICANN 2011, 21th International Conference, Espoo, Finland, June 14-17th, 2011, Proceedings, volume 6792 of Lecture Notes in Computer Science, pages 111-118. Springer, 2011. [ bib \| .pdf ]
[32]	Ganesan Pugalenthi, Krishna Kumar Kandaswamy, and Prasanna Kolatkar. RSARF: Prediction of residue solvent accessibility from protein sequence using random forest method. Protein & Peptide Letters, 18, 2011. (to appear). [ bib ]
[33]	Krishna Kumar Kandaswamy, Kuo-Chen Chou, Thomas Martinetz, Steffen Möller, Ponnuthurai Nagaratnam Suganthan, S. Sridharan, and Pugalenthi Ganesan. AFP-Pred: A random forest approach for predicting antifreeze proteins from sequence-derived properties. Journal of Theoretical Biology, 270:56-62, 2011. [ bib ]
[34]	Khader Shameer, Ganesan Pugalenthi, Krishna Kumar Kandaswamy, and Ramanathan Sowdhamini. 3dswap-pred: Prediction of 3D Domain Swapping from Protein Sequence Using Random Forest Approach. Protein & Peptide Letters, 18, 2011. [ bib ]
[35]	Sascha Klement and Thomas Martinetz. On the problem of finding the least number of features by L1-norm minimisation. In T. Honkela et al., editor, ICANN 2011, Part I, LNCS 6791, pages 315-322. Springer, Heidelberg, 2011. [ bib \| .pdf ]
[36]	Sascha Klement, Fabian Timm, and Erhardt Barth. Illumination correction for image stitching. In Proceedings of the Int. Conference on Imaging Theory and Applications (IMAGAPP), volume 1, pages 81-86, Algarve, Portugal, 2011. INSTICC. [ bib \| .pdf ]
[37]	Krishna Kumar Kandaswamy, Ganesan Pugalenthi, Mehrnaz Khodam Hazrati, Kai-Uwe Kalies, and Thomas Martinetz. BLProt: Prediction of bioluminescent proteins based on Support Vector Machine and Relief feature selection. BMC Bioinformatics, 2011. [ bib \| .pdf ]
[38]	Kai Labusch, Erhardt Barth, and Thomas Martinetz. Robust and Fast Learning of Sparse Codes With Stochastic Gradient Descent. IEEE Transactions on Selected Topics in Signal Processing, 5(5):1048 - 1060, 2011. [ bib \| .pdf ]
[39]	Felix Njap, Jens Christian Claussen, Andreas Moser, and Ulrich G. Hofmann. Comparing realistic subthalamic nucleus neuron models. In AIP Conf. Proc. / Volume 1371 / Issue 1, volume 1371, pages 102-109, 2011. [ bib \| http ]
[40]	Eckehard Olbrich, Jens Christian Claussen, and Peter Achermann. The multiple time scales of sleep dynamics as a challenge for modeling the sleeping brain. Phil. Trans. Roy. Soc A, 369:3884-3901, 2011. [ bib \| http ]
[41]	Daniel H. Rapoport, Tim Becker, Amir Madany Mamlouk, Simone Schicktanz, and Charli Kruse. A novel validation algorithm allows for automated cell tracking and the extraction of biologically meaningful parameters. PLoS ONE, 6(11):e27315, 2011. [ bib \| DOI ]
[42]	Nicolas Schneider, Erhardt Barth, Peter Bex, and Michael Dorr. An open-source low-cost eye-tracking system for portable real-time and offline tracking. In Proceedings of the 2011 Conference on Novel Gaze-Controlled Applications, pages 8:1-4, 2011. [ bib \| DOI \| .pdf ]
[43]	Fabian Timm and Erhardt Barth. Non-parametric texture defect detection using Weibull features. In Image Processing: Machine Vision Applications IV, San Francisco, USA, 2011. IS&T/SPIE Electronic Imaging. [ bib \| .pdf ]
[44]	Fabian Timm and Erhardt Barth. Accurate, fast, and robust centre localisation for images of semiconductor components. In Image Processing: Machine Vision Applications IV, San Francisco, USA, 2011. IS&T/SPIE Electronic Imaging. [ bib \| .pdf ]
[45]	Fabian Timm and Erhardt Barth. Accurate eye centre localisation by means of gradients. In Proceedings of the Int. Conference on Computer Theory and Applications (VISAPP), volume 1, pages 125-130, Algarve, Portugal, 2011. INSTICC. [ bib ]
[46]	Eleonora Vig, Michael Dorr, and Erhardt Barth. Learned saliency transformations for gaze guidance. In Bernice E Rogowitz and Thrasyvoulos N Pappas, editors, Human Vision and Electronic Imaging XVI, volume 7865, pages W1-11. SPIE-IS&T, 2011. [ bib \| .pdf ]
[47]	Eleonora Vig, Michael Dorr, Thomas Martinetz, and Erhardt Barth. Eye movements show optimal average anticipation with natural dynamic scenes. Cognitive Computation, 3(1):79-88, 2011. [ bib \| http \| .pdf ]
[48]	Jiajie Zhang, Amir Madany Mamlouk, Thomas Martinetz, Suhua Chang, Jing Wang, and Rolf Hilgenfeld. PhyloMap: an algorithm for visualizing relationships of large sequence data sets and its application to the influenza A virus genome. BMC Bioinformatics, 12:248, 2011. [ bib \| http ]
[49]	Erhardt Barth, Michael Dorr, Eleonora Vig, Laura Pomarjanschi, and Cicero Mota. Efficient coding and multiple motions. Vision Research, 50(22):2190-2199, 2010. [ bib \| .pdf ]
[50]	Martin Böhme, Martin Haker, Thomas Martinetz, and Erhardt Barth. Shading constraint improves accuracy of time-of-flight measurements. Computer Vision and Image Understanding, 114:1329-1335, 2010. [ bib \| .pdf ]
[51]	Ingrid Brænne, Kai Labusch, and Amir Madany Mamlouk. Sparse Coding for Feature Selection on Genome-wide Association Data. In Artificial Neural Networks - ICANN 2010, 20th International Conference, Thessaloniki,Greece, September 15-18, 2010, Proceedings, volume 6352 of Lecture Notes in Computer Science, pages 337-346. Springer, 2010. [ bib \| .pdf ]
[52]	Ingrid Brænne, Kai Labusch, Thomas Martinetz, and Amir Madany Mamlouk. Interpretive Risk Assessment on GWA Data with Sparse Linear Regression. Machine Learning Reports, pages 61-68, 2010. [ bib \| .pdf ]
[53]	H. G. Danielmeyer and T. Martinetz. The Biologic Stability of the Industrial Evolution. European Review (Academia Europea), Vol. 18, No.2:263-268, 2010. [ bib \| .pdf ]
[54]	Michael Dorr, Halszka Jarodzka, and Erhardt Barth. Space-variant spatio-temporal filtering of video for gaze visualization and perceptual learning. In Eye-tracking research & applications, pages 307-314, 2010. (c) ACM, 2010. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in Eye tracking research & applications 2010, Austin, Texas, 22-24 March 2010. http://doi.acm.org/10.1145/1743666.1743737. [ bib \| .pdf ]
[55]	Michael Dorr, Thomas Martinetz, Karl Gegenfurtner, and Erhardt Barth. Variability of eye movements when viewing dynamic natural scenes. Journal of Vision, 10(10):1-17, 2010. [ bib \| http ]
[56]	Ganesan Pugalenthi, Kandaswamy Krishna Kumar, P.N. Suganthan, G.Archunan, and R.Sowdhamini. Identification of functionally diverse lipocalin proteins from sequence information using support vector machine. Amino Acids, 39:777-783, 2010. [ bib ]
[57]	Krishna Kumar Kandaswamy, Ganesan Pugalenthi, Enno Hartmann, Kai-Uwe Kalies, Steffen Möller, P.N. Suganthan, and Thomas Martinetz. SPRED: A machine learning approach for the identification of classical and non-classical secretory proteins in mammalian genomes. Biochemical and Biophysical Research Communications, 391:1306-1311, 2010. [ bib \| .pdf ]
[58]	Krishna Kumar Kandaswamy, Ganesan Pugalenthi, Steffen Möller, Enno Hartmann, Kai-Uwe Kalies, P.N.Suganthan, and Thomas Martinetz. Prediction of apoptosis protein locations with Genetic Algorithms and Support Vector Machines through a new mode of pseudo amino acid composition. Protein Peptide Letters, 17:1473-1479, 2010. [ bib ]
[59]	Khader Shameer, Ganesan Pugalenthi, Krishna Kumar Kandaswamy, Ponnuthurai N. Suganthan, Govindaraju Archunan, and Ramanathan Sowdhamini. Insights in to protein sequence and structure derived features mediating 3D domain swapping mechanism using Support Vector Machine based approach. Bioinformatics and Biology Insights, 4:33-42, 2010. [ bib ]
[60]	Sascha Klement and Thomas Martinetz. The support feature machine for classifying with the least number of features. In Konstantinos I. Diamantaras, Wlodek Duch, and Lazaros S. Iliadis, editors, Artificial Neural Networks - ICANN 2010, 20th International Conference, Thessaloniki, Greece, September 15-18, 2010, Proceedings, Part II, volume 6353 of Lecture Notes in Computer Science, pages 88-93. Springer, 2010. [ bib \| .pdf ]
[61]	Sascha Klement and Thomas Martinetz. A new approach to classification with the least number of features. In Proceedings of the 9th International Conference on Machine Learning and Applications - ICMLA 2010, Whashington, D.C, USA, 12-14 December, 2010, pages 141-146. IEEE Computer Society, 2010. [ bib \| .pdf ]
[62]	A. Kolb, E. Barth, R. Koch, and R. Larsen. Time-of-Flight Cameras in Computer Graphics. Computer Graphics Forum, 29(1):141-159, 2010. [ bib \| .pdf ]
[63]	Krishna Kumar Kandaswamy, Ganesan Pugalenthi, P.N Suganthan, and Rajeev Gangal. SVMCRYS: An SVM approach for the prediction of protein crystallization propensity from protein. Protein Peptide Letters, 26:423-430, 2010. [ bib ]
[64]	Kai Labusch, Erhardt Barth, and Thomas Martinetz. Bag of Pursuits and Neural Gas for Improved Sparse Coding. In Gilbert Saporta, editor, Proceedings of the 19th International Conference on Computational Statistics, pages 327-336. Springer, 2010. [ bib \| .pdf ]
[65]	Kai Labusch and Thomas Martinetz. Learning Sparse Codes for Image Reconstruction. In Michel Verleysen, editor, Proceedings of the 18th European Symposium on Artificial Neural Networks, pages 241-246. D-Side Publishers, 2010. [ bib \| .pdf ]
[66]	Hong-Viet V. Ngo, Jan Köhler, Jörg Mayer, Jens Christian Claussen, and Heinz Georg Schuster. Triggering up states in all-to-all coupled neurons. Europhysics Letters, 89:68002, 2010. [ bib \| http \| http ]
[67]	Hong-Viet V. Ngo, Jan Köhler, Jörg Mayer, Jens Christian Claussen, and Heinz Georg Schuster. Triggering up states in all-to-all coupled neurons: a simple model of cortical up-down switching. In Proceedings of the International Biosignal Processing Conference, Berlin, Germany, pages 57:1-4, 2010. [ bib ]
[68]	Ganesan Pugalenthi, Krishna Kumar Kandaswamy, P. N. Suganthan, R.Sowdhamini, Thomas Martinetz, and Prasanna Kolatkar. A support vector machine approach to identify structural motifs in protein structure without using evolutionary information. Journal of Biomolecular Structure and Dynamics, 28, 2010. [ bib \| .pdf ]
[69]	Markus Schütt and Jens Christian Claussen. Mean extinction times in cyclic coevolutionary rock-paper-scissors dynamics, 2010. working paper q-bio. [ bib \| http \| http ]
[70]	Markus Schütt and Jens Christian Claussen. Stabilization of biodiversity in the coevolutionary rock-paper-scissors game on complex networks, 2010. working paper q-bio. [ bib \| http \| http ]
[71]	Fabian Timm and Thomas Martinetz. Statistical Fourier descriptors for defect image classification. In Proceedings of the 20th Int. Conference on Pattern Recognition (ICPR), Istanbul, Turkey, 2010. IEEE Computer Society Press. [ bib \| .pdf ]
[72]	Fabian Timm, Thomas Martinetz, and Erhardt Barth. Optical inspection of welding seams. In Computer Vision, Imaging and Computer Graphics: Theory and Applications, Revised Selected Papers, volume 68, pages 269-282. Springer Series Communications in Computer Science and Information Science, 2010. [ bib \| .pdf ]
[73]	Eleonora Vig, Michael Dorr, Thomas Martinetz, and Erhardt Barth. A learned saliency predictor for dynamic natural scenes. In K. Diamantaras, W. Duch, and L. S. Iliadis, editors, ICANN 2010, Part III, volume 6354 of Lecture Notes in Computer Science, pages 52-61, Thessaloniki, Greece, 2010. Springer. [ bib \| .pdf ]
[74]	Arne Weigenand, Hong-Viet V. Ngo, David Higgins, Thomas Martinetz, and Jens Christian Claussen. Switching between up and down states in a conductance-based cortex model. In Proceedings of the International Biosignal Processing Conference, Berlin, Germany, pages 105:1-3, 2010. [ bib ]
[75]	Martin Böhme, Martin Haker, Thomas Martinetz, and Erhardt Barth. Head tracking with combined face and nose detection. In Proceedings of the IEEE International Symposium on Signals, Circuits & Systems (ISSCS), Iasi, Romania, 2009. (to appear). [ bib \| .pdf ]
[76]	Martin Böhme, Martin Haker, Kolja Riemer, Thomas Martinetz, and Erhardt Barth. Face detection using a time-of-flight camera. In Dynamic 3D Imaging - Workshop in Conjunction with DAGM, volume 5742 of Lecture Notes in Computer Science, pages 167-176, 2009. http://www.springerlink.com/content/023881623j67r336/. [ bib \| .pdf ]
[77]	Cristina Darolti, Erhardt Barth, Christoph Bodensteiner, and Ulrich G. Hofmann. Active contours that grow and compete driven by local region descriptors. volume 7245,72450F. Proceedings of SPIE, 2009. [ bib ]
[78]	H. G. Danielmeyer and T. Martinetz. An exact theory of the industrial evolution and national recovery. Technical Report SIIM-TR-A-09-05, version 11-09, Institut für Neuro- und Bioinformatik der Universität zu Lübeck, www.inb.uni-luebeck.de, 2009. [ bib \| .pdf ]
[79]	Michael Dorr and Erhardt Barth. Gaze guidance for improved visual communication, 2009. http://www.perada-magazine.eu/view.php?source=1793-2009-08-20. [ bib \| .pdf ]
[80]	Michael Dorr, Karl Gegenfurtner, and Erhardt Barth. The contribution of low-level features at the centre of gaze to saccade target selection. Vision Research, 49(24):2918-2926, 2009. [ bib \| .pdf ]
[81]	Michael Dorr, Laura Pomarjanschi, and Erhardt Barth. Gaze beats mouse: A case study on a gaze-controlled Breakout. PsychNology, 7(2):197-211, 2009. [ bib \| http ]
[82]	Michael Dorr, Christoph Rasche, and Erhardt Barth. A gaze-contingent, acuity-adjusted mouse cursor. In Arantxa Villanueva, John Paulin Hansen, and Bjarne Kjær Ersbøll, editors, 5th Conference on Communication by Gaze Interaction (COGAIN), pages 39-41, 2009. [ bib \| .pdf ]
[83]	Martin Haker, Martin Böhme, Thomas Martinetz, and Erhardt Barth. Deictic gestures with a time-of-flight camera. In Stefan Kopp and Ipke Wachsmuth, editors, Gesture in Embodied Communication and Human-Computer Interaction - International Gesture Workshop GW 2009, volume 5934 of LNAI, pages 110-121. Springer, 2009. http://www.springerlink.com/content/uw12051512tk5261/. [ bib \| .pdf ]
[84]	Martin Haker, Martin Böhme, Thomas Martinetz, and Erhardt Barth. Self-organizing maps for pose estimation with a time-of-flight camera. In Dynamic 3D Imaging - Workshop in Conjunction with DAGM, volume 5742 of Lecture Notes in Computer Science, pages 142-153, 2009. http://www.springerlink.com/content/006305183070t383/. [ bib \| .pdf ]
[85]	Martin Haker, Thomas Martinetz, and Erhardt Barth. Multimodal sparse features for object detection. In Artificial Neural Networks - ICANN 2009, 19th International Conference, Limassol, Cyprus, September 14-17, 2009, Proceedings, volume 5769 of Lecture Notes in Computer Science, pages 923-932. Springer, 2009. http://www.springerlink.com/content/574230078m0228wh/. [ bib \| .pdf ]
[86]	Halszka Jarodzka, Katharina Scheiter, Peter Gerjets, Tamara van Gog, and Michael Dorr. How to convey perceptual skills by displaying experts' gaze data. In N A Taatgen and H van Rijn, editors, Proceedings of the 31st Annual Conference of the Cognitive Science Society, pages 2920-2925. Austin, TX: Cognitive Science Society, 2009. [ bib ]
[87]	Andreas Kolb, Erhardt Barth, Reinhard Koch, and Rasmus Larsen. Time-of-Flight Sensors in Computer Graphics. Eurographics State of the Art Reports, pages 119-134, 2009. [ bib \| .pdf ]
[88]	K. Krishna Kumar and ndP.N. Suganthan Ganesan Pugalenthi. Identification of DNA binding proteins from protein sequence information using random forest method. Journal of Biomolecular Structure and Dynamics, 26:663-895, 2009. [ bib ]
[89]	Kai Labusch, Erhardt Barth, and Thomas Martinetz. Sparse Coding Neural Gas: Learning of Overcomplete Data Representations. Neurocomputing, 72(7-9):1547-1555, 2009. [ bib \| http \| .pdf ]
[90]	Kai Labusch, Erhardt Barth, and Thomas Martinetz. Approaching the Time Dependent Cocktail Party Problem with Online Sparse Coding Neural Gas. In J.C. Principe and R. Miikkulainen, editors, Advances in Self-Organizing Maps - WSOM 2009, 7th International Workshop, St. Augustine, Fl, USA, June 2009, volume 5629 of Lecture Notes in Computer Science, pages 145-153. Springer, 2009. [ bib \| http \| .pdf ]
[91]	Kai Labusch, Erhardt Barth, and Thomas Martinetz. Demixing Jazz-Music: Sparse Coding Neural Gas for the Separation of Noisy Overcomplete Sources. Neural Network World, 19(5):561-579, 2009. [ bib \| http \| .pdf ]
[92]	Thomas Martinetz, Kai Labusch, and Daniel Schneegaß. SoftDoubleMaxMinOver: Perceptron-like Training of Support Vector Machines. IEEE Transactions on Neural Networks, 20(7):1061-1072, 2009. [ bib \| http \| .pdf ]
[93]	Amir Madany Mamlouk. Computergestützte Analyse von biologischen Wahrnehmungsprozessen. GI-Edition - Lecture Notes in Informatics (LNI), pages 171-180, 2009. [ bib \| .pdf ]
[94]	Dirk Repsilber, Thomas Martinetz, and Mats Björklund. Adaptive Dynamics of Regulatory Networks: Size Matters. EURASIP Journal on Bioinformatics and Systems Biology, Volume 2009 (2009), Article ID 618502, 10 pages, doi:10.1155/2009/618502, 2009. [ bib \| .pdf ]
[95]	Heinz Georg Schuster, Michel Le Van Quyen, Mario Chavez, Jan Köhler, Jörg Mayer, and Jens Christian Claussen. Dynamical behavior and control of coupled threshold elements with self-inhibition. International Journal of Bifurcation and Chaos, 19:3119-3128, 2009. [ bib \| http ]
[96]	Fabian Timm, Sascha Klement, Thomas Martinetz, and Erhardt Barth. Welding inspection using novel specularity features and a one-class SVM. In Proceedings of the Int. Conference on Computer Theory and Applications (VISAPP), volume 1, pages 146-153, Lisboa, Portugal, 2009. INSTICC. [ bib \| .pdf ]
[97]	Arantxa Villanueva, Gintautas Daunys, Dan Witzner Hansen, Martin Böhme, Rafael Cabeza, André Meyer, and Erhardt Barth. A geometric approach to remote eye tracking. Universal Access in the Information Society, 8(4):241-257, 2009. [ bib ]
[98]	Eleonora Vig, Michael Dorr, and Erhardt Barth. Efficient visual coding and the predictability of eye movements on natural movies. Spatial Vision, 22(5):397-408, 2009. [ bib \| .pdf ]
[99]	X. Zhou, H. Krabbenhöft, M. Niinimäki, A. Depeuringe, S. Möller, and H. Müller. An easy setup for parallel medical image processing: Using taverna and arc. Stud Health Technol Inform., 147:41-50, 2009. [ bib ]
[100]	Martin Böhme, Michael Dorr, Mathis Graw, Thomas Martinetz, and Erhardt Barth. A software framework for simulating eye trackers. In Proceedings of Eye Tracking Research & Applications (ETRA), pages 251-258, 2008. (c) ACM, 2008. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in Eye Tracking Research & Applications 2008, Savannah, Georgia, 26-28 March 2008. http://doi.acm.org/10.1145/1344471.1344529. [ bib \| .pdf ]
[101]	Martin Böhme, Michael Dorr, Thomas Martinetz, and Erhardt Barth. A temporal multiresolution pyramid for gaze-contingent manipulation of natural video. In Riad I. Hammoud, editor, Passive Eye Monitoring, chapter 10, pages 225-243. Springer, 2008. [ bib ]
[102]	Martin Böhme, Martin Haker, Thomas Martinetz, and Erhardt Barth. A facial feature tracker for human-computer interaction based on 3D Time-of-Flight cameras. International Journal of Intelligent Systems Technologies and Applications, 5(3/4):264-273, 2008. [ bib \| .pdf ]
[103]	Martin Böhme, Martin Haker, Thomas Martinetz, and Erhardt Barth. Shading constraint improves accuracy of time-of-flight measurements. In CVPR 2008 Workshop on Time-of-Flight-based Computer Vision (TOF-CV), 2008. [ bib \| .pdf ]
[104]	Jens Christian Claussen. Floquet stability analysis of Ott-Grebogi-Yorke and difference control. New Journal of Physics, 10:063006, 2008. [ bib \| http ]
[105]	Jens Christian Claussen. Time evolution of the rule 150 cellular automaton activity from a fibonacci iteration. Journal of Mathematical Physics, 49:062701, 2008. [ bib \| http ]
[106]	Jens Christian Claussen. Drift reversal in asymmetric coevolutionary conflicts: influence of microscopic processes and population size. Banach Center Publications, 80:17-31, 2008. (Invited Review). [ bib \| http ]
[107]	Jens Christian Claussen. Time-evolution of the rule 150 cellular automaton activity on two-dimensional and bethe lattices. In Proceedings of the 8-th German Workshop on Artificial Life GWAL8, Leipzig, 2008. [ bib \| http ]
[108]	Jens Christian Claussen. Cyclic coevolutionary dynamics in finite populations: From discrete stochastic processes to replicator and fokker-planck equations. In Proceedings of the 8-th German Workshop on Artificial Life GWAL8, Leipzig, 2008. [ bib \| http ]
[109]	Jens Christian Claussen and Arne Traulsen. Cyclic dominance and biodiversity in well-mixed populations. Physical Review Letters, 100:058104, 2008. [ bib \| http ]
[110]	Michael Dorr, Eleonora Vig, Karl R Gegenfurtner, Thomas Martinetz, and Erhardt Barth. Eye movement modelling and gaze guidance. In Fourth International Workshop on Human-Computer Conversation, 2008. [ bib \| .pdf ]
[111]	Christoph S. Garbe, Kai Krajsek, Pavel Pavlov, Björn Andres, Matthias Mühlich, Ingo Stuke, Cicero Mota, Martin Böhme, Martin Haker, Tobias Schuchert, Hanno Scharr, Til Aach, Erhardt Barth, Rudolf Mester, and Bernd Jähne. Nonlinear analysis of multi-dimensional signals: local adaptive estimation of complex motion and orientation patterns. In Rainer Dahlhaus, Jürgen Kurths, Peter Maaß, and Jens Timmer, editors, Mathematical Methods in Time Series Analysis and Digital Image Processing, Understanding Complex Systems, pages 231-288. Springer, 2008. [ bib ]
[112]	Ganesan Pugalenthi, K. Krishna Kumar, P.N. Suganthan, and Rajeev Gangal. Identification of catalytic residues from protein structure using Support Vector Machine with sequence and structural features. Biochemical and Biophysical Research Communications, 367:630-634, 2008. [ bib ]
[113]	Hajo N. Krabbenhöft, Steffen Möller, and Daniel Bayer. Integrating ARC Grid Middleware with Taverna Workflows. Bioinformatics, 24(9):1221-1222, 2008. [ bib ]
[114]	Martin Haker, Martin Böhme, Thomas Martinetz, and Erhardt Barth. Scale-invariant range features for time-of-flight camera applications. In CVPR 2008 Workshop on Time-of-Flight-based Computer Vision (TOF-CV), 2008. [ bib \| .pdf ]
[115]	Kandaswamy Krishna Kumar and Prakash Shrikrishna Shelokar. An SVM method using evolutionary information for the identification of allergenic proteins. Bioinformation, 2:253-256, 2008. [ bib ]
[116]	Sascha Klement, Amir Madany Mamlouk, and Thomas Martinetz. Reliability of Cross-Validation for SVMs in High-Dimensional, Low Sample Size Scenarios. In Vera Kurková, Roman Neruda, and Jan Koutník, editors, Artificial Neural Networks - ICANN 2008, 18th International Conference, Prague, Czech Republic, September 3-6, 2008, Proceedings, Part II, volume 5163 of Lecture Notes in Computer Science, pages 41-50. Springer, 2008. http://www.springerlink.com/content/a852001534335865/. [ bib \| .pdf ]
[117]	Andreas Kolb, Erhardt Barth, and Reinhard Koch. ToF Sensors: New Dimensions for Realism and Interactivity. In CVPR 2008 Workshop on Time-of-Flight-based Computer Vision (TOF-CV), 2008. [ bib \| .pdf ]
[118]	Kai Labusch, Erhardt Barth, and Thomas Martinetz. Learning data representations with sparse coding neural gas. In Michel Verleysen, editor, Proceedings of the 16th European Symposium on Artificial Neural Networks, pages 233-238. D-Side Publishers, 2008. [ bib \| http \| .pdf ]
[119]	Kai Labusch, Erhardt Barth, and Thomas Martinetz. Sparse Coding Neural Gas for the Separation of Noisy Overcomplete Sources. In Vera Kurková, Roman Neruda, and Jan Koutník, editors, Artificial Neural Networks - ICANN 2008, 18th International Conference, Prague, Czech Republic, September 3-6, 2008, Proceedings, Part II, volume 5163 of Lecture Notes in Computer Science, pages 788-797. Springer, 2008. [ bib \| http \| .pdf ]
[120]	Kai Labusch, Erhardt Barth, and Thomas Martinetz. Simple Method for High-Performance Digit Recognition Based on Sparse Coding. IEEE Transactions on Neural Networks, 19(11):1985-1989, 2008. [ bib \| http \| .pdf ]
[121]	Kai Labusch, Fabian Timm, and Thomas Martinetz. Simple incremental one-class Support Vector classification. In Gerhard Rigoll, editor, Pattern Recognition - Proceedings of the DAGM, Lecture Notes in Computer Science, pages 21-30, 2008. [ bib \| .pdf ]
[122]	Patrick Linsel-Nitschke, Anika Goetz, Jeanette Erdmann, Ingrid Brænne, Peter Braund, Christian Hengstenberg, Klaus Stark, Marcus Fischer, Stefan Schreiber, Nour Eddine El Mokhtari, Arne Schaefer, Juergen Schrezenmeir, Juergen Schrezenmeier, Diana Rubin, Anke Hinney, Thomas Reinehr, Christian Roth, Jan Ortlepp, Peter Hanrath, Alistair S Hall, Massimo Mangino, Wolfgang Lieb, Claudia Lamina, Iris M Heid, Angela Doering, Christian Gieger, Annette Peters, Thomas Meitinger, H-Erich Wichmann, Inke R Koenig, Andreas Ziegler, Florian Kronenberg, Nilesh J Samani, and Heribert Schunkert. Lifelong reduction of LDL-cholesterol related to a common variant in the LDL-receptor gene decreases the risk of coronary artery disease-a mendelian randomisation study. PloS One, 3(8):e2986, 2008. PMID: 18714375. [ bib \| DOI \| http ]
[123]	Hong-Viet V. Ngo. Analyse der Dynamik von Schlaf-Rhythmen. Diploma thesis, Universität Kiel, 2008. [ bib ]
[124]	Kolja Riemer. Gesichtsdetektion mit Time-of-Flight-Kameras. Diploma thesis, Universität zu Lübeck, 2008. [ bib \| .pdf ]
[125]	Torsten Röhl, Arne Traulsen, Jens Christian Claussen, and Heinz Georg Schuster. Stochastic gain in finite populations. Physical Review E, 78:026108, 2008. [ bib \| http ]
[126]	Daniel F. Schwarz, Oliver Hädicke, Jeanette Erdmann, Andreas Ziegler, Daniel Bayer, and Steffen Möller. SNPtoGO: characterizing SNPs by enriched GO terms. Bioinformatics, 24(1):146-148, 2008. [ bib \| http ]
[127]	Daniel Schneegaß, Steffen Udluft, and Thomas Martinetz. Uncertainty Propagation for Quality Assurance in Reinforcement Learning. In Proc. of the International Joint Conference on Neural Networks, pages 2589-2596, 2008. [ bib \| .pdf ]
[128]	Fabian Timm, Sascha Klement, and Thomas Martinetz. Fast model selection for MaxMinOver-based training of Support Vector Machines. In Proceedings of the 19th Int. Conference on Pattern Recognition (ICPR), Tampa, Florida, USA, 2008. IEEE Computer Society Press. [ bib \| .pdf ]
[129]	Daniel F. Schwarz, Oliver Hädicke, Jeanette Erdmann, Andreas Ziegler, Daniel Bayer, and Steffen Möller. SNPtoGO: characterizing SNPs by enriched GO terms. Bioinformatics, 24(1):146-148, 2008. [ bib \| http ]
[130]	Nilesh J Samani, Jeanette Erdmann, Alistair S Hall, Christian Hengstenberg, Massimo Mangino, Bjoern Mayer, Richard J Dixon, Thomas Meitinger, Peter Braund, H-Erich Wichmann, Jennifer H Barrett, Inke R Koenig, Suzanne E Stevens, Silke Szymczak, David-Alexandre Tregouet, Mark M Iles, Friedrich Pahlke, Helen Pollard, Wolfgang Lieb, Francois Cambien, Marcus Fischer, Willem Ouwehand, Stefan Blankenberg, Anthony J Balmforth, Andrea Baessler, Stephen G Ball, Tim M Strom, Ingrid Brænne, Christian Gieger, Panos Deloukas, Martin D Tobin, Andreas Ziegler, John R Thompson, and Heribert Schunkert. Genomewide association analysis of coronary artery disease. The New England Journal of Medicine, 357(5):443-453, August 2007. PMID: 17634449. [ bib \| DOI \| http ]
[131]	D. Bayer, T. Bhimdi, G. Oechsler, F. Orellana, A. Wäänänen, B. Kónya, and S. Möller. Dynamic runtime environments for grid computing. In Cracow'07 Grid Workshop, pages 155-162, Cracow, Poland, 2007. [ bib ]
[132]	Jens Christian Claussen. Offdiagonal complexity: A computationally quick complexity measure for graphs and networks. Physica A, 375:365-373, 2007. [ bib \| http ]
[133]	Jens Christian Claussen. Drift reversal in asymmetric coevolutionary conflicts: influence of microscopic processes and population size. European Physical Journal B, 60:391-399, 2007. [ bib \| http ]
[134]	Jens Christian Claussen. Poincare-based control of delayed measured systems: Limitations and Improved Control, pages 109-128. VCH Wiley, 2007. (eds. Heinz Georg Schuster and Eckehard Schöll). [ bib \| http ]
[135]	Jens Christian Claussen. Offdiagonal complexity: A computationally quick network complexity measure - Application to protein networks and cell division., pages 279-287. Birkhäuser, Boston, 2007. (eds. A. Deutsch and R. Bravo de la Parra and R. de Boer and O. Diekmann and P. Jagers and E. Kisdi and M. Kretzschmar and P. Lansky and H. Metz). [ bib ]
[136]	Jens Christian Claussen and Jürgen Carstensen. Underetching from simple reaction kinetics. In Proceedings of the 3-rd International Conference Physics and Control (PhysCon 2007), Potsdam, 2007. [ bib \| http ]
[137]	Michael Dorr, Martin Böhme, Thomas Martinetz, and Erhardt Barth. Gaze beats mouse: a case study. In The 3rd Conference on Communication by Gaze Interaction - COGAIN 2007, Leicester, UK, pages 16-19, 2007. [ bib \| .pdf ]
[138]	Dirk Eddelbuettel, David Vernazobres, Albrecht Gebhardt, and Steffen Möller. apt-get install cran bioc: On automated builds of 1700 r packages for debian. In useR conference, Ames, Iowa, 2007. [ bib \| http ]
[139]	Martin Haker, Martin Böhme, Thomas Martinetz, and Erhardt Barth. Geometric invariants for facial feature tracking with 3D TOF cameras. In Proceedings of the IEEE International Symposium on Signals, Circuits & Systems (ISSCS), volume 1, pages 109-112, Iasi, Romania, 2007. [ bib \| .pdf ]
[140]	Bernd Jähne, Rudolf Mester, Erhardt Barth, and Hanno Scharr, editors. Complex Motion, First International Workshop, IWCM 2004, Günzburg, Germany, October 12-14, 2004. Revised Papers, volume 3417 of Lecture Notes in Computer Science. Springer, 2007. [ bib ]
[141]	Kai Labusch, Udo Siewert, Thomas Martinetz, and Erhardt Barth. Learning optimal features for visual pattern recognition. In Bernice E. Rogowitz, Thrasyvoulos N. Pappas, and Scott J. Daly, editors, Human Vision and Electronic Imaging XII, volume 6492. Proceedings of SPIE, 2007. [ bib \| .pdf ]
[142]	Jörg Mayer, Heinz Georg Schuster, Jens Christian Claussen, and Matthias Mölle. Corticothalamic projections control synchronization in locally coupled bistable thalamic oscillators. Physical Review Letters, 99:068102, 2007. [ bib \| http ]
[143]	Emanuela Merelli, Giuliano Armano, Nicola Cannata, Flavio Corradini, Mark d'Inverno, Andreas Doms, Phillip Lord, Andrew Martin, Luciano Milanesi, Steffen Möller, Michael Schroeder, and Michael Luck. Agents in bioinformatics, computational and systems biology. Briefings in Bioinformatics, 8(1):45-59, 2007. [ bib ]
[144]	Steffen Möller, Daniel Bayer, David Vernazobres, Albrecht Gebhardt, and Dirk Eddelbuettel. Scientific grid computing via community-controlled autobuilding of software packages across architectures. In NETTAB, Pisa, Italy, 2007. [ bib \| http ]
[145]	Piyushkumar Mundra, Madhan Kumar, K. Krishna Kumar, Valadi K. Jayaraman, and Bhaskar D. Kulkarni. Using Pseudo Amino Acid Composition to Predict Protein Sub nuclear Localization: Approached with PSSM. Pattern Recognition Letters, 28:1610-1615, 2007. [ bib ]
[146]	Rajeev Gangal and K. Krishna Kumar. Reduced Alphabet Motif Methodology for GPCR annotation. Journal of Biomolecular Structure and Dynamics, 25:299-310, 2007. [ bib ]
[147]	Daniel Schneegaß, Anton Maximilian Schaefer, and Thomas Martinetz. The Intrinsic Recurrent Support Vector Machine. In Michel Verleysen, editor, Proc. of the European Symposium on Artificial Neural Networks, pages 325-330, 2007. [ bib \| .pdf ]
[148]	Daniel Schneegaß, Steffen Udluft, and Thomas Martinetz. Explicit Kernel Rewards Regression for Data-Efficient Near-optimal Policy Identification. In Michel Verleysen, editor, Proc. of the European Symposium on Artificial Neural Networks, pages 337-342, 2007. [ bib \| .pdf ]
[149]	Daniel Schneegaß, Steffen Udluft, and Thomas Martinetz. Improving Optimality of Neural Rewards Regression for Data-Efficient Batch Near-Optimal Policy Identification. In Proc. of the International Conference on Artificial Neural Networks, pages 109-118, 2007. [ bib \| .pdf ]
[150]	Daniel Schneegaß, Steffen Udluft, and Thomas Martinetz. Neural Rewards Regression for Near-Optimal Policy Identification in Markovian and Partial Environments. In Michel Verleysen, editor, Proc. of the European Symposium on Artificial Neural Networks, pages 301-306, 2007. [ bib \| .pdf ]
[151]	Dirk Eddelbuettel, David Vernazobres, Albrecht Gebhardt, and Steffen Möller. apt-get install cran bioc: On automated builds of 1700 r packages for debian. In useR conference, Ames, Iowa, 2007. [ bib \| http ]
[152]	Til Aach, Cicero Mota, Ingo Stuke, Matthias Mühlich, and Erhardt Barth. Analysis of superimposed oriented patterns. IEEE Transactions on Image Processing, 15(12):3690-3700, 2006. [ bib \| .pdf ]
[153]	Erhardt Barth, Michael Dorr, Martin Böhme, Karl R. Gegenfurtner, and Thomas Martinetz. Guiding the mind's eye: improving communication and vision by external control of the scanpath. In Bernice E. Rogowitz, Thrasyvoulos N. Pappas, and Scott J. Daly, editors, Human Vision and Electronic Imaging, volume 6057 of Proc. SPIE, 2006. Invited contribution for a special session on Eye Movements, Visual Search, and Attention: a Tribute to Larry Stark. [ bib \| .pdf ]
[154]	Erhardt Barth, Michael Dorr, Martin Böhme, Karl R Gegenfurtner, and Thomas Martinetz. Guiding eye movements for better communication and augmented vision. In Perception and Interactive Technologies, volume 4021 of Lecture Notes in Artificial Intelligence, pages 1-8. Springer, 2006. [ bib \| .pdf ]
[155]	Martin Böhme, Michael Dorr, Christopher Krause, Thomas Martinetz, and Erhardt Barth. Eye movement predictions on natural videos. Neurocomputing, 69(16-18):1996-2004, 2006. [ bib \| .pdf ]
[156]	Martin Böhme, Michael Dorr, Thomas Martinetz, and Erhardt Barth. Gaze-contingent temporal filtering of video. In Proceedings of Eye Tracking Research & Applications (ETRA), pages 109-115, 2006. (c) ACM, 2006. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in Eye Tracking Research & Applications 2006, San Diego, California, 27-29 March 2006. http://doi.acm.org/10.1145/1117309.1117353. [ bib \| .pdf ]
[157]	Martin Böhme, André Meyer, Thomas Martinetz, and Erhardt Barth. Remote eye tracking: State of the art and directions for future development. In The 2nd Conference on Communication by Gaze Interaction - COGAIN 2006, Turin, Italy, pages 10-15, 2006. [ bib \| .pdf ]
[158]	Jens Christian Claussen. Processing of information in synchroneously firing chains in networks of neurons. In ICANN 2006, volume 4131 of Lecture Notes in Computer Science, pages 710-717. Springer, 2006. [ bib \| DOI \| http \| .pdf ]
[159]	Jens Christian Claussen and Arne Traulsen. Fluctuations in coevolutionary dynamics and implications for multi-agent models. In Dirk Helbing, editor, Proceedings of: Potentials of Complexity Science for Business, Government and the Media, Collegium Budapest, pages 411-419, 2006. [ bib ]
[160]	Michael Dorr, Martin Böhme, Thomas Martinetz, and Erhardt Barth. Gaze-contingent spatio-temporal filtering in a head-mounted display. In Perception and Interactive Technologies, volume 4021 of Lecture Notes in Artificial Intelligence, pages 205-207. Springer, 2006. [ bib \| .pdf ]
[161]	Robert Goertsches, Pablo Serrano-Fernández, Steffen Möller, Dirk Koczan, and Uwe K. Zettl. Multiple sclerosis therapy monitoring based on gene expression. Curr. Pharm. Des., 12(29):3761-3779, 2006. [ bib \| http ]
[162]	Martin Haker. Locally Linear Manifold Classifier. Diploma thesis, Universität zu Lübeck, 2006. [ bib ]
[163]	Sascha Klement. Incremental Support Vector Regression for Steering Hot Rolling Mills. Diploma thesis, Universität zu Lübeck, 2006. [ bib \| .pdf ]
[164]	T. Martinetz, A. Madany Mamlouk, and C. Mota. Fast and Easy Computation of Approximate Smallest Enclosing Balls. Proc. SIBGRAPI, pages 163-170, 2006. [ bib \| .pdf ]
[165]	Jörg Mayer, Heinz Georg Schuster, and Jens Christian Claussen. The role of inhibitory feedback for information processing in thalamocortical circuits. Physical Review E, 73:031908, 2006. [ bib \| http ]
[166]	André Meyer, Martin Böhme, Thomas Martinetz, and Erhardt Barth. A single-camera remote eye tracker. In Perception and Interactive Technologies, volume 4021 of Lecture Notes in Artificial Intelligence, pages 208-211. Springer, 2006. [ bib \| .pdf ]
[167]	Fabien Molle and Jens Christian Claussen. Investigation of topographical stability of the concave and convex self-organizing map variant. In ICANN 2006, volume 4131 of Lecture Notes in Computer Science, pages 208-215. Springer, 2006. [ bib \| http \| .pdf ]
[168]	Cicero Mota, Ingo Stuke, and Erhardt Barth. The Intrinsic Dimension of Multispectral Images. In MICCAI Workshop on Biophotonics Imaging for Diagnostics and Treatment, pages 93-100, 2006. [ bib \| .pdf ]
[169]	Steffen Möller, Uwe K. Zettl, Robert Goertsches, and Pablo Serrano-Fernández. Comparative genomics for the investigation of autoimmune diseases. Curr. Pharm. Des., 12(29):3707-3722, 2006. [ bib \| http ]
[170]	Johan Öckinger, Pablo Serrano-Fernández, Steffen Möller, Saleh M. Ibrahim, Tomas Olsson, and Maja Jagodic. Definition of a 1.06 mb region linked to neuroinflammation in humans, rats and mice. Genetics, 173(3):1539-1545, 2006. [ bib \| http ]
[171]	Daniel Polani, Chrystopher Nehaniv, Thomas Martinetz, and Jan T. Kim. Relevant Information in Optimized Persistence vs. Progeny Strategies. In L. M.Rocha, M. Bedau, D. Floreano, R. Goldstone, A. Vespignani, and L. Yaeger, editors, Proc. Artificial Life X, 2006. [ bib \| .pdf ]
[172]	Daniel Schneegaß, Kai Labusch, and Thomas Martinetz. MaxMinOver Regression: A Simple Incremental Approach for Support Vector Function Approximation. In Artificial Neural Networks - ICANN 2006, Lecture Notes in Computer Science, pages 150-58, Berlin/Heidelberg, 2006. Springer. [ bib \| .pdf ]
[173]	Daniel Schneegaß, Thomas Martinetz, and Michael Clausohm. Onlinedoublemaxminover: a simple approximate time and information efficient online support vector classification method. In Michel Verleysen, editor, Proceedings of the 14th European Symposium on Artificial Neural Networks, pages 575-580, 2006. [ bib ]
[174]	Daniel Schneegaß, Steffen Udluft, and Thomas Martinetz. Kernel rewards regression: An information efficient batch policy iteration approach. In V. Devedzic, editor, Proceedings of the IASTED International Conference on Artificial Intelligence and Applications, pages 428-433, 2006. [ bib \| .pdf ]
[175]	Ingo Stuke, Erhardt Barth, and Cicero Mota. Estimation of Multiple Orientations and Multiple Motions in Multi-Dimensional Signals. In IEEE XIX Brazilian Symposium on Computer Graphics and Image Processing (SIBGRAPI'06), pages 341-348, 2006. [ bib \| .pdf ]
[176]	Fabian Timm. Methoden zur optischen Qualitätskontrolle. Anwendung in der Produktion von Xenon-Lampen. Diploma thesis, Universität zu Lübeck, 2006. Full version: Please contact the author via email. [ bib \| .pdf ]
[177]	Arne Traulsen, Jens Christian Claussen, and Christoph Hauert. Coevolutionary dynamics in large, but finite populations. Physical Review E, 74:011901, 2006. [ bib \| http ]
[178]	Thomas Villmann and Jens Christian Claussen. Investigation of magnification control in self-organizing maps and neural gas. Neural Computation, 18:446-469, 2006. [ bib \| http ]
[179]	X. Yu, K. Bauer P. Wernhoff, D. Koczan, S. Möller, H.-J. Thiesen, and S.M. Ibrahim. Fine mapping of collagen-induced arthritis quantitative trait loci in an advanced intercross line. J. Immunol., 177(10):7042-7049, 2006. [ bib ]
[180]	V. Aidinis, P. Carninci, M. Armaka, W. Witke, V. Harokopos, N. Pavelka, D. Koczan, C. Argyropoulos, M.M. Thwin, S. Möller, W. Kazunori, P. Gopalakrishnakone, P. Ricciardi-Castagnoli, H.-J. Thiesen, Y. Hayashizaki, and G. Kollias. Cytoskeletal rearrangements in synovial fibroblasts as a novel pathophysiological determinant of modeled rheumatoid arthritis. PLoS Genet., 1(4):e48, 2005. [ bib \| http ]
[181]	E. Bartocci, E. Merelli, and S. Möller. Integration of ensembl with bioagent. Technical Report TR02-2005, Dipartimento di Matematica e Informatica, Universi� di Camerino, 2005. [ bib ]
[182]	E. Barth. Die intrinsische Dimension in der visuellen Informationsverarbeitung, 2005. Habilitationsschrift an der Universität zu Lübeck. [ bib \| .pdf ]
[183]	Martin Böhme and Erhardt Barth. Challenges in Single-Camera Remote Eye-Tracking. In 1st Conference on Communication by Gaze Interaction (COGAIN), Copenhagen, Denmark, 2005. [ bib \| .pdf ]
[184]	U. Brinkschulte, J. Becker, D. Fey, C. Hochberger, T. Martinetz, C. Müller-Schloer, H. Schmeck, T. Ungerer, and R. Würtz. Arcs 2005 - system aspects in organic and pervasive computing - workshops procedeedings, innsbruck austria, march 14-17, 2005. [ bib ]
[185]	Jens Christian Claussen. Generalized Winner-Relaxing Kohonen Feature Maps. Neural Computation, 17:996-1009, 2005. [ bib \| http ]
[186]	Jens Christian Claussen. Influence of the impulse length in poincare-based chaos control. In Proceedings of ENOC 2005, Eindhoven, pages 1100-1107, 2005. [ bib ]
[187]	Jens Christian Claussen. Delayed measured systems in poincare-based chaos control. In Proceedings of ENOC 2005, Eindhoven, pages 1236-1245, 2005. [ bib ]
[188]	Jens Christian Claussen and Tomas Villmann. Magnification control in winner relaxing neural gas. Neurocomputing, 63:125-137, 2005. [ bib \| http ]
[189]	C. Cudalbu, B. Anastasiu, H. Grecu, and E. Barth. Fully automatic, realtime head-pose estimation using stereo vision. In International Conference On Control Systems and Computer Science, volume 2, pages 920-925, 2005. [ bib ]
[190]	C. Cudalbu, B. Anastasiu, R. Radu, R. Cruceanu, E. Schmidt, and E. Barth. Driver Monitoring with a Single High-Speed Camera and IR Illumination. In ISSCS 2005 International Symposium on Signals, Circuits and Systems, Proceedings, volume 1, pages 219-222, 2005. [ bib ]
[191]	Michael Dorr, Martin Böhme, Thomas Martinetz, and Erhardt Barth. Visibility of temporal blur on a gaze-contingent display. In APGV 2005 ACM SIGGRAPH Symposium on Applied Perception in Graphics and Visualization, pages 33-36, 2005. [ bib \| .pdf ]
[192]	Michael Dorr, Martin Böhme, Thomas Martinetz, and Erhardt Barth. Predicting, analysing, and guiding eye movements. In Neural Information Processing Systems Conference (NIPS 2005), Workshop on Machine Learning for Implicit Feedback and User Modeling, 2005. [ bib \| .pdf ]
[193]	P. Gierer, S. M. Ibrahim, T. Mittlmeier, D. Koczan, S. Möller, J. Landes, G. Gradl, and B. Vollmar. Gene expression profile and synovial microcirculation at early stages of collagen-induced arthritis, 2005. [ bib \| http \| .pdf ]
[194]	R.B. Govindan, Jan Raethjen, F. Kopper, Jens Christian Claussen, and G. Deuschl. Estimation of time delay by coherence analysis. Physica A, 350:277-295, 2005. [ bib \| http ]
[195]	M. Johannesson, L. M. Olsson, A. K. Lindqvist, S. Möller, D. Koczan, L. Wester-Rosenlof, H. J. Thiesenand S. Ibrahim, and R. Holmdahl. Gene expression profiling of arthritis using a QTL chip reveals a complex gene regulation of the Cia5 region in mice. Genes Immun., 6:575-583, 2005. [ bib \| .html ]
[196]	P. Lukowicz, E. Barth, and J. T. Kim. Organic Architectures for Large-Scale Environment-Aware Sensor Networks. In Proceedings of the Workshop on Self-Organization and Emergence 2005, pages 131-139, 2005. [ bib \| .pdf ]
[197]	Thomas Martinetz, Kai Labusch, and Daniel Schneegaß. SoftDoubleMinOver: A Simple Procedure for Maximum Margin Classification. In Wlodzislaw Duch, Janusz Kacprzyk, Erkki Oja, and Slawomir Zadrozny, editors, Artificial Neural Networks: Biological Inspirations. ICANN 2005: 15th International Conference. Proceedings, Part II, Lecture Notes in Computer Science, pages 301-306, 2005. [ bib \| http \| .pdf ]
[198]	A. Madany Mamlouk, H. Sharp, K. M. L. Menne, U. G. Hofmann, and T. Martinetz. Unsupervised spike sorting with ICA and its evaluation using GENESIS simulations. Neurocomputing, 65-66:275-282, 2005. [ bib \| .pdf ]
[199]	Steffen Möller, Pablo Serrano-Fernández, Michael Watson, Dirk Koczan, Vassilis Kotsikoris, Manfred Kunz, Martin Blüggel, Jens Pahnke, Harald Illges, Stefan Mikkat, Hans-Jürgen Thiesen, Michael O. Glocker, Uwe K. Zettl, and Saleh M. Ibrahim. Collection of soluble variants of membrane proteins for transcriptomics and proteomics. In Silico Biol., 5(3):295-311, 2005. [ bib \| http ]
[200]	C. Mota, I. Stuke, T. Aach, and E. Barth. Divide-and-Conquer Strategies for Estimating Multiple Transparent Motions. In B. Jähne, R. Mester, E. Barth, and H. Scharr, editors, Complex Motion. Proceedings of the 1st International Workshop on Complex Motion, Schloss Reisensburg, Germany, Oct. 2004 . Lecture Notes on Computer Science, LNCS, volume 3417, pages 66-78, Berlin, 2005. Springer. [ bib \| .pdf ]
[201]	C. Mota, I. Stuke, T. Aach, and E. Barth. Spatial and spectral analysis of occluded motions. Signal Processing: Image Communication. Elsevier Science, 20-6:529-536, 2005. [ bib \| .pdf ]
[202]	Jan Nagler and Jens Christian Claussen. 1?f alpha spectra in elementary cellular automata and fractal signals. Physical Review E, 71:067103, 2005. [ bib \| http ]
[203]	H. Scharr, I. Stuke, C. Mota, and E. Barth. Estimation of Transparent Motions with Physical Models for Additional Brightness Variation. In European Signal Pocessing Conference 2005, page CD, 2005. [ bib \| .pdf ]
[204]	P. Serrano-Fernández, S. M. Ibrahim, D. Koczan, U. K. Zettl, and S. Möller. In silico fine-mapping: narrowing disease-associated loci by intergenomics. Bioinformatics, 21(8):1737-1738, 2005. [ bib \| http ]
[205]	A. Tille and S. Möller. Debian-Med Free Software in Health Care. In Guiliano Admano, Jörg Denzinger, Andrew Martin, Emanuela Merelli, Simon Miles, Huaglory Tianfield, and Rainer Unland, editors, MASBIOMED Workshop, AAMAS, Utrecht, NL*, pages 72-85, 2005. [ bib \| .html \| .pdf ]
[206]	Arne Traulsen, Jens Christian Claussen, and Christoph Hauert. Coevolutionary dynamics: From finite to infinite populations. Physical Review Letters, 95:238701, 2005. [ bib \| http ]
[207]	T. Aach, Stuke I, C. Mota, and E. Barth. Estimation of Multiple Local Orientations in Image Signals. In Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) 2004, volume III, pages 553-556, Montreal, Canada, May 17-21 2004. [ bib \| .pdf ]
[208]	T. Aach, E. Barth, and C. Mayntz. Motion-compensated defect interpolation for flat-panel detectors. In SPIE Medical Imaging 2004: Image Processing, volume 5370, pages 1352-1363, 2004. [ bib \| .pdf ]
[209]	T. Binder, A. Vox, S. Belyazid, H. Haraldsson, and M. Svensson. Developing System Dynamics Models from Causal Loop Diagrams. In Proceedings of the 22nd International Conference of the System Dynamics Society, Oxford, 2004, page CD, 2004. [ bib \| .pdf ]
[210]	Martin Böhme, Christopher Krause, Erhardt Barth, and Thomas Martinetz. Eye Movement Predictions Enhanced by Saccade Detection. In Brain Inspired Cognitive Systems, page CD, 2004. [ bib \| .pdf ]
[211]	Martin Böhme, Christopher Krause, Thomas Martinetz, and Erhardt Barth. Saliency Extraction for Gaze-Contingent Displays. In Proceedings of the 34th GI-Jahrestagung, volume 2, pages 646-650, 2004. Workshop on Organic Computing. [ bib \| .pdf ]
[212]	Jens Christian Claussen. Stability borders of feedback control of delayed measured systems. Physical Review E, 70:046205, 2004. [ bib \| http ]
[213]	Jens Christian Claussen, Jan Nagler, and Heiz Georg Schuster. Sierpinski signal generates 1?f alpha spectra. Physical Review E, 70:032101, 2004. [ bib \| http ]
[214]	Jens Christian Claussen and Heinz Georg Schuster. Improved control of delayed measured systems. Physical Review E, 70:056225, 2004. [ bib \| http ]
[215]	Jens Christian Claussen and Arne Traulsen. Nongaussian fluctuations arising from finite populations: Exact results for the evolutionary moran process. Physical Review E, 70:056225, 2004. (Rapid Communication). [ bib \| http ]
[216]	Michael Dorr, Thomas Martinetz, Karl Gegenfurtner, and Erhardt Barth. Guidance of eye movements on a gaze-contingent display. In Uwe J. Ilg, Heinrich H. Bülthoff, and Hanspeter A. Mallot, editors, Dynamic Perception Workshop of the GI Section “Computer Vision”, pages 89-94, 2004. [ bib \| .pdf ]
[217]	Michael Dorr. Effects of Gaze-Contingent Stimuli on Eye Movements. Diploma thesis, Universität zu Lübeck, 2004. [ bib \| .pdf ]
[218]	M. Haker, C. Mota, and E. Barth. Multiple Motions in the Projective Plane. In 7th Tübingen Perception Conference, page 177, Kirchentellinsfurt, 2004. Knirsch Verlag. [ bib \| .pdf ]
[219]	J. T. Kim, J. Gewehr, and T. Martinetz. Binding matrix: A novel approach for binding site recognition. Journal of Bioinformatics and Computational Biology, 2:289-307, 2004. [ bib \| .pdf ]
[220]	J. T. Kim, T. Martinetz, and D. Polani. On the Evolution of Information in the Constituents of Regulatory Gene. In A. Deutsch, J. Howard, M. Falcke, and W. Zimmermann, editors, Function and Regulation of Cellular Systems. Experiments and Models, pages 259-264, Basel, 2004. [ bib ]
[221]	Kai Labusch. MaxMinOver: Ein neues iteratives Verfahren zur Supportvektor-Klassifikation mit Anwendungen in der Gesichtserkennung. Diploma thesis, University of Lübeck, 2004. [ bib \| http \| .pdf ]
[222]	A. Madany Mamlouk and T. Martinetz. On the Dimensions of the Olfactory Perception Space. Neurocomputing, 58-60:1019-1025, 2004. [ bib \| .pdf ]
[223]	T. Martinetz and A. Madany Mamlouk. Easy and Fast Computation of Approximate Smallest Enclosing Balls. Technical Report SIIM-TR-A-04-13, University of Lübeck, 2004. [ bib \| .pdf ]
[224]	T. Martinetz. MinOver Revisited for Incremental Support-Vector-Classification. In C.E. Rasmussen, H.H. Buelthoff, M. Giese, and B. Schoelkopf, editors, DAGM 2004, volume 3175 of LNCS, pages 187-194. Springer-Verlag Berlin Heidelberg, 2004. [ bib \| .pdf ]
[225]	Thomas Martinetz. MaxMinOver: A Simple Incremental Learning Procedure for Support Vector Classification. In IEEE Proceedings of the International Joint Conference on Neural Networks (IJCNN 2004), pages 2065-2070, Budapest, Hungary, 2004. [ bib \| .pdf ]
[226]	C. Mota, T. Aach, I. Stuke, and E. Barth. Estimation of multiple orientations in multi-dimensional signals. In IEEE International Conference on Image Processing, pages 2665-2668, 2004. [ bib \| .pdf ]
[227]	Cicero Mota, Michael Dorr, Ingo Stuke, and Erhardt Barth. Categorization of Transparent-Motion Patterns Using the Projective Plane. International Journal of Computer and Information Science, 5(2):129-40, 2004. [ bib \| .pdf ]
[228]	Cicero Mota, Michael Dorr, Ingo Stuke, and Erhardt Barth. Analysis and synthesis of motion patterns using the projective plane. In Bernice E Rogowitz and Thrasyvoulos N Pappas, editors, Human Vision and Electronic Imaging Conference IX, volume 5292 of Proceedings of SPIE, pages 174-81, 2004. [ bib \| .pdf ]
[229]	C. Mota, I. Stuke, T. Aach, and E. Barth. Estimation of multiple orientations at corners and junctions. In 26th Pattern Recognition Symposium (DAGM'04), Tübingen, pages 163-170, 2004. [ bib \| .pdf ]
[230]	Oliver Schmitt, Maren Pakura, Til Aach, Lars Hömke, Martin Böhme, and Stefan Preuße. Analysis of nerve fibers and their distribution in histologic sections of the human brain. Microscopy Research and Technique, 63:220-243, 2004. [ bib ]
[231]	I. Stuke, T. Aach, E. Barth, and C. Mota. Analysing Superimposed Oriented Patterns. In 6th IEEE Southwest Symposium on Image Analysis and Interpretation, Lake Tahoe, NV, March 28-30, 2004, pages 133-137, 2004. [ bib \| .pdf ]
[232]	Ingo Stuke, Til Aach, Erhardt Barth, and Cicero Mota. Estimation of multiple motions using block-matching and Markov random fields. In S. Panchanathan and B. Vasudev, editors, Visual Communications and Image Processing 2004, IS&T/SPIE 16th Annual Symposium Electronic Imaging, Proceedings of SPIE, volume 5308, pages 486-496, San Jose, California, 2004. [ bib \| .pdf ]
[233]	I. Stuke, T. Aach, E. Barth, and C. Mota. Multiple-Motion-Estimation by Block-matching using MRF. International Journal of Computer & Information Science, 5(1):141-152, 2004. [ bib \| .pdf ]
[234]	Arne Traulsen and Jens Christian Claussen. Similarity-based cooperation and spatial segregation. Physical Review E, 70:046128, 2004. [ bib \| http ]
[235]	Cicero Mota, Michael Dorr, Ingo Stuke, and Erhardt Barth. Categorization of Transparent-Motion Patterns Using the Projective Plane. In Walter Dosch and Roger Y Lee, editors, Proceedings of the ACIS Fourth International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD'03), pages 363-369. International Association for Computer and Information Science, October 16-18 2003. ISBN 0-9700776-7-x. [ bib \| .pdf ]
[236]	Erhardt Barth, Ingo Stuke, Til Aach, and Cicero Mota. Spatio-temporal motion estimation for transparency and occlusion. In Proc. IEEE Int. Conf. Image Processing, volume III, pages 69-72, Barcelona, Spain, September 14-17, 2003. IEEE Signal Processing Soc. [ bib \| .pdf ]
[237]	Ingo Stuke, Til Aach, Cicero Mota, and Erhardt Barth. Linear and regularized solutions for multiple motions. In Bhaskaran Vasudev, T Russell Hsing, Andrew G Tescher, and Touradj Ebrahimi, editors, Proc. IEEE Int. Conf. Acoustics, Speech and Signal Processing, volume III of Proceedings of SPIE, pages 157-160, Hong Kong, April 2003. SPIE, IEEE Signal Processing Soc. Conference was canceled due to SARS. [ bib \| .pdf ]
[238]	Erhardt Barth, Jan Drewes, and Thomas Martinetz. Individual predictions of eye-movements with dynamic scenes. In Bernice E Rogowitz and Thrasyvoulos N Pappas, editors, Electronic Imaging 2003, volume 5007, pages 252-259. SPIE, 2003. [ bib \| .html ]
[239]	E Barth, J Drewes, and T Martinetz. Dynamic predictions of tracked gaze. In Seventh International Symposium on Signal Processing and its Applications, Paris, 2003. Special Session on Foveated Vision in Image and Video Processing. [ bib \| .pdf ]
[240]	Martin Böhme and Bodo Manthey. The computational power of compiling C++. Bulletin of the European Association for Theoretical Computer Science, 81:264-270, 2003. [ bib \| .pdf ]
[241]	Martin Böhme and Daniel Potts. A fast algorithm for filtering and wavelet decomposition on the sphere. Electronic Transactions on Numerical Analysis, 16:70-93, 2003. [ bib \| .pdf ]
[242]	Martin Böhme and Daniel Potts. A fast algorithm for spherical filtering on arbitrary grids. In Proceedings of SPIE: Wavelets Applications in Signal and Image Processing X, volume 5207, pages 445-454, 2003. [ bib \| .pdf ]
[243]	Jens Christian Claussen. Winner-relaxing and winner-enhancing Kohonen maps: Maximal mutual information from enhancing the winner. Complexity, 8:15-22, 2003. [ bib \| http ]
[244]	Jens Christian Claussen, Jürgen Carstensen, Marc Christophersen, Sergiu Langa, and Helmut Föll. Self-Organized Formation of Fractal and Regular Pores in Semiconductors, volume 32, pages 00-01. Springer, 2003. (eds. H. Emmerich, B. Nestler, M. Schreckenberg). [ bib ]
[245]	Jens Christian Claussen. Magnification behaviour of winner relaxing and winner-enhancing kohonen feature maps. In Mathematical Modelling and Computing in Biology and Medicine, (V.Capasso Ed.), The MIRIAM Project Series, Progetto Leonardo, ESCULAPIO Pub. Co., Bologna, Italy, pages 17-22, 2003. [ bib ]
[246]	Jens Christian Claussen. Control of delayed measured systems and impulse length limitations in difference control. In Proceedings PHSYCON03 vol. 4 (ed. Alexander L. Fradkov) St. Petersburg, pages 1296-1302, 2003. [ bib ]
[247]	Jens Christian Claussen, Jürgen Carstensen, Marc Christophersen, Serfiu Langa, and Helmut Föll. Self-organized pore formation and open-loop control in semiconductor etching. Chaos, 13:217-224, 2003. [ bib \| http ]
[248]	Jens Christian Claussen, Jürgen Carstensen, Marc Christophersen, Sergiu Langa, and Helmut Föll. Open-loop control of pore formation in semiconductor etching. In Proceedings PHSYCON03 vol. 3 (ed. Alexander L. Fradkov) St. Petersburg, pages 895-900, 2003. [ bib ]
[249]	Jens Christian Claussen, Mathias Schlüter, and Uwe-Jens Krabbenhöft. Dust recognition by two-scale variance analysis and graded information fusion. In Proceedings IFSA 2003, Istanbul, pages 261-264, 2003. [ bib ]
[250]	Jens Christian Claussen and Thomas Villmann. Magnification control in winner relaxing neural gas. In Proceedings ESANN 2003 (ed. M. Verleysen), Brugge, pages 93-98. d-side publications, 2003. [ bib ]
[251]	Jens Christian Claussen and Thomas Villmann. Magnification control in neural gas by winner relaxing learning: Independence of a diagonal term. In Proceedings ICANN 2003, Istanbul, pages 58-61, 2003. [ bib ]
[252]	J. T. Kim, T. Martinetz, and D. Polani. Bioinformatic Principles Underlying the Information Content of Transcription Factor Binding Sites. Journal of Theoretical Biology, 220:529-544, 2003. [ bib \| .pdf ]
[253]	Jan T. Kim. Fitness Costs of Mutation Rate Adaption and its Application to Optimization of Dynamic Objective Functions. In Walter Dosch and Roger Y. Lee, editors, Proceedings of the ACIS Fourth International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD'03), pages 68-74, Lübeck, 2003. Schmidt Römhild. [ bib \| .pdf ]
[254]	A. Madany Mamlouk, C. Chee-Ruiter, U. G. Hofmann, and J. M. Bower. Quantifying olfactory perception: mapping olfactory perception space by using multidimensional scaling and self-organizing maps. Neurocomputing, 52-54:591-597, 2003. [ bib \| .pdf ]
[255]	T. Martinetz, J. Gewehr, and J. T. Kim. Statistical Learning for Detecting Protein-DNA-Binding Sites. In D. C. Wunsch II, M. Hasselmo, and K. Venayagamoorthy, editors, Proceedings of the International Joint Conference on Neural Networks 2003, pages 2940-2945. IEEE Press, 2003. [ bib \| .pdf ]
[256]	A. Madany Mamlouk, J. T. Kim, E. Barth, M. Brauckmann, and T. Martinetz. One-Class Classification with Subgaussians. In B. Michaelis and G. Krell, editors, Pattern Recognition (DAGM 2003), volume 2781 of LNCS, pages 346-353. Springer-Verlag Berlin Heidelberg, 2003. [ bib \| .pdf ]
[257]	A. Meyer-Bäse, T. Otto, T. Martinetz, D. Auer, and A. Wismüller. Model-Free Functional MRI Analysis Using Topographic Independent Component Analysis. In Proceedings of the European Symposium on Artificial Neural Networks (ESANN), volume D-Side Publishers 4, pages 509-514, 2003. [ bib \| .pdf ]
[258]	Ingo Stuke, Til Aach, Erhardt Barth, and Cicero Mota. Estimation of Multiple Motions by Block Matching. In W. Dosch and R. Y. Lee, editors, Proceedings of the ACIS 4th International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD'03), Lübeck, Germany, October 16-18, 2003, pages 358-62, 2003. [ bib \| .pdf ]
[259]	I. Stuke, T. Aach, C. Mota, and E. Barth. Estimation of multiple motions: regularization and performance evaluation. In B. Vasudev, T. R. Hsing, A. G. Tescher, and T. Ebrahimi, editors, Image and Video Communications and Processing 2003, Proceedings of SPIE, volume 5022, pages 75-86, 2003. [ bib \| .pdf ]
[260]	Thomas Villmann and Jens Christian Claussen. Investigation of magnification control in self-organizing maps and neural gas. In Proceedings WSOM 2003 (ed. Yamakawa), pages 59-64, 2003. [ bib ]
[261]	Erhardt Barth, Ingo Stuke, and Cicero Mota. Analysis of motion and curvature in image sequences. In Proc. IEEE Southwest Symp. Image Analysis and Interpretation, pages 206-210, Santa Fe, NM, April 2002. IEEE Computer Press. [ bib \| .pdf ]
[262]	E. Barth and T. Martinetz. Information technology for active perception. In 8th Annual German-American Beckman Frontiers of Science Symposium, 2002. Poster in PDF. [ bib \| .pdf ]
[263]	Martin Böhme. A Fast Algorithm for Filtering and Wavelet Decomposition on the Sphere. Diploma thesis, Universität zu Lübeck, 2002. [ bib \| .pdf ]
[264]	Jens Christian Claussen and Heinz Georg Schuster. Asymptotic level density of the elastic net self-organizing feature map. In ICANN 2002, volume 2415 of Lecture Notes in Computer Science, pages 939-944. Springer, 2002. [ bib \| .pdf ]
[265]	Kai Labusch and Daniel Polani. Sensor Evolution in a Homeokinetic System. In Daniel Polani, Jan T. Kim, and Thomas Martinetz, editors, Proceedings of the Fifth German Workshop on Artificial Life, pages 199-208, Berlin, 2002. Akademische Verlagsgesellschaft Aka. [ bib \| .pdf ]
[266]	A. Madany Mamlouk. Quantifying Olfactory Perception. Diploma thesis, Universität zu Lübeck, 2002. [ bib \| .pdf ]
[267]	T. Münster, W. Deleu, L. U. Wingen, M. Ouzunova, J. Cacharrón, W. Faigl, S. Werth, J. T. Kim, H. Saedler, and G. Theissen. Maize MADS-Box Genes Galore. Maydica, 47:287-301, 2002. [ bib \| .pdf ]
[268]	D. Polani, J. T. Kim, and T. Martinetz, editors. Abstracting and Synthesizing the Principles of Living Systems. Proceedings of the Fifth German Workshop on Artificial Life. infix / Akademische Verlagsgesellschaft Aka, Berlin, 2002. [ bib ]
[269]	Dirk Repsilber, Jan T. Kim, Hans Liljenström, and Thomas Martinetz. Using Coarse-Grained, Discrete Systems for Data-Driven Inference of Regulatory Gene Networks: Perspectives and Limitations for Reverse Engineering. In Daniel Polani, Jan T. Kim, and Thomas Martinetz, editors, Proceedings of the Fifth German Workshop on Artificial Life, pages 67-76, Berlin, 2002. infix / Akademische Verlagsgesellschaft Aka. [ bib \| .pdf ]
[270]	Oliver Schmitt and Martin Böhme. A robust transcortical profile scanner for generating 2-d traverses in histological sections of richly curved cortical courses. NeuroImage, 16:1103-1119, 2002. [ bib ]
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[272]	E. Barth, M. Ferraro, and C. Zetsche. Global topological properties of images derived from local curvature features. In C. Arcelli, L. P. Cordella, and G. Sanniti di Baja, editors, Visual Form 2001. Lecture Notes in Computer Science, pages 285-294, 2001. [ bib \| .pdf ]
[273]	E. Barth. Information technology for active perception: Itap. In First GRP-Symposium, Sehen und Aufmerksamkeit im Alter, Benediktbeuren, December 2001, 2001. [ bib \| .pdf ]
[274]	G. Bruns, D. Polani, and T. Uthmann. Eine Virtuelle Kontinuierliche Welt als Testbett für KI-Modelle. Künstliche Intelligenz, 60-62, 2001. [ bib \| .pdf ]
[275]	K. Dautenhahn, D. Polani, and T. Uthmann, editors. Artificial Life Journal - Special Issue on Sensor Evolution. MIT Press, 2001. [ bib ]
[276]	K. Dautenhahn, D. Polani, and T. Uthmann. Guest Editor's Introduction: Special Issue on Sensor Evolution. In K. Dautenhahn, D. Polani, and T. Uthmann, editors, Artificial Life Journal - Special Issue on Sensor Evolution, pages 95-98. MIT Press, 2001. [ bib ]
[277]	Michael Dorr, Ingo Stuke, Cicero Mota, and Erhardt Barth. Mathematical and perceptual analysis of multiple motions. In Heinrich H Bülthoff, Karl R Gegenfurtner, Hanspeter A Mallot, and Rolf Ulrich, editors, TWK 2001 Beiträge zur 4. Tübinger Wahrnehmungskonferenz, page 174, 2001. [ bib \| .pdf ]
[278]	F. Flentge, D. Polani, and T. Uthmann. Modelling the Emergence of Possession Norms using Memes. Journal of Artificial Societies and Social Simulations, 4(4), 2001. [ bib \| .html ]
[279]	M. Haker, A. Meyer, D. Polani, and T. Martinetz. A Method for Incorporation of New Evidence to Improve World State Estimation. In Proceedings of the RoboCup 2001 Symposium, Seattle, pages 356-361, 2001. [ bib \| .pdf ]
[280]	Jan T. Kim, Thomas Martinetz, and Daniel Polani. On the Effects of Transcription Factor Properties on the Information Content of Binding Sites. In Edgar Wingender, Ralf Hofestädt, and Ines Liebich, editors, Proceedings of the German Conference on Bioinformatics 2001. German Research Center for Biotechnology (GBF), Maschroder Weg 1, 38124 Braunschweig, Germany, pages 192-194, 2001. [ bib \| .pdf ]
[281]	Jan T. Kim, Henning Schwöbbermeyer, Günter Theissen, and Heinz Saedler. Biodiversitätsmessung bei Pflanzen anhand molekularer Daten. In Peter Janich, Mathias Gutmann, and Kathrin Priess, editors, Biodiversität. Wissenschaftliche Grundlagen und gesellschaftliche Relevanz. Band 10 der Reihe Wissenschaftsethik und Technologiefolgenbeurteilung, pages 181-234, Berlin, Heidelberg, 2001. Springer Verlag. [ bib \| .pdf ]
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[290]	I. Rentschler and E. Barth. Bilder im Kopf oder vom Ursprung des Schönen. In I. Rentschler, E. Madelung, and P. Fauser, editors, Welten im Kopf. Texte zum Imaginativen Lernen, Hamburg, 2001. Kallwey Verlag. [ bib ]
[291]	C. Ronnewinkel and T. Martinetz. Explicit Speciation with few a priori Parameters for Dynamic Optimization Problems. In GECCO 2001 - Workshop Proceedings, San Francisco, 2001. Morgan Kaufmann. [ bib \| .ps.gz ]
[292]	C. Ronnewinkel, C.O. Wilke, and T. Martinetz. Genetic algorithms in time-dependent environments. L. Kallel, B. Naudts, and A. Rogers, editors, Theoretical Aspects of Evolutionary Computing, Natural Computing, pages 261-285, 2001. [ bib \| .pdf ]
[293]	Romildo Silva, Jonas Gomes, and Cicero Mota. Geometric processing of volumetric graphical objects. In Proceedings of WSCG 2001, pages 307-314, 2001. [ bib ]
[294]	P. Stoerig and E. Barth. Low-level phenomenal vision despite unilateral destruction of primary visual cortex. Consciousness and Cognition, 10:574-587, 2001. [ bib \| http \| .pdf ]
[295]	P. Stoerig and E. Barth. A Note on (K)Nots: Response to Robert W. Kentridge's Commentary. Consciousness and Cognition, 10:591-593, 2001. [ bib ]
[296]	Luzie U. Wingen, Jan T. Kim, Heinz Saedler, and Koen Dekker. ZIGIA-DB: A versatile Database for Handling Complex Functional Genomic Data of Arabidopsis thaliana. In Edgar Wingender, Ralf Hofestädt, and Ines Liebich, editors, Proceedings of the German Conference on Bioinformatics 2001. German Research Center for Biotechnology (GBF), Mascheroder Weg 1, 38124 Braunschweig, Germany, pages 234-235, 2001. [ bib \| .pdf ]
[297]	C. O. Wilke and C. Ronnewinkel. Dynamic fitness landscapes: Expansions for small mutation rates. Physica, A 290:475-490, 2001. [ bib \| .pdf ]
[298]	Claus O Wilke, Christopher Ronnewinkel, and Thomas Martinetz. Dynamic fitness landscapes in molecular evolution. Physics Reports, 349:395-446, 2001. [ bib \| .pdf ]
[299]	E. Barth and M. Ferraro. On the geometric structure of spatio-temporal patterns. In G. Sommer and Y. Zeevi, editors, Algebraic Frames for the Perception-Action Cycle, pages 134-143, Berlin, 2000. Springer Lecture Notes in Computer Science. [ bib \| .html ]
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[304]	J. T. Kim. LindEvol: Artificial Models for Natural Plant Evolution. Künstliche Intelligenz, 1:26-32, 2000. [ bib \| .pdf ]
[305]	Cicero Mota and Erhardt Barth. On the uniqueness of curvature features. In G. Baratoff and H. Neumann, editors, Dynamische Perzeption, volume 9 of Proceedings in Artificial Intelligence, pages 175-178, Köln, 2000. Infix Verlag. [ bib \| .html ]
[306]	V. Srinivasan, S. W. Zhang, J. S. Chahl, E. Barth, and S. Venkatesh. How honeybees make grazing landings on flat surfaces. Biological Cybernetics, 83(3):171-183, 2000. [ bib \| .html ]
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[313]	Ingo Rentschler and Erhardt Barth. Vom Vorteil der tätigen Veränderung bildlicher Vorstellungen. Kunstforum, 148, 1999. [ bib \| .html ]
[314]	Henning Schwöbbermeyer and Jan Kim. A Comparative Analysis of Biodiversity Measures. In Dario Floreano, Jean-Daniel Nicoud, and Francesco Mondada, editors, Advances in Artificial Intelligence, Lecture Notes in Artificial Intelligence, pages 119-28. Springer Verlag, Berlin, Heidelberg, 1999. [ bib \| .pdf ]
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[319]	S. Altmeyer, C. O. Wilke, and T. Martinetz. How fast do structures emerge in hypercycle systems? In C. O. Wilke, S. Altmeyer, and T. Martinetz, editors, Third German Workshop on Artificial Life. Verlag Harri Deutsch, 1998. [ bib \| .pdf ]
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[322]	E. Barth and C. Zetzsche. Endstopped operators based on iterated nonlinear center-surround inhibition. In Bernice E Rogowitz and Thrasyvoulos N Pappas, editors, Human Vision and Electronic Imaging, volume 3299 of Proc. SPIE, pages 67-78, Bellingham, WA, 1998. [ bib \| .html ]
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[324]	Erhardt Barth, Christoph Zetzsche, and Ingo Rentschler. Intrinsic 2D features as textons. J Opt Soc Am A, 15(7):1723-32, 1998. [ bib \| .html ]
[325]	Jens Christian Claussen, Thorsten Mausbach, Alexander Piel, and Heinz Georg Schuster. Memory difference control of unknown unstable fixed points: Drifting parameter conditions and delayed measurement. Physical Review E, 58:7256–-7260, 1998. [ bib \| http ]
[326]	C. O. Wilke, S. Altmeyer, and T. Martinetz, editors. Third German Workshop on Artificial Life. Verlag Harri Deutsch, 1998. [ bib ]
[327]	Claus O Wilke, Stephan Altmeyer, and Thomas Martinetz. Large-scale evolution and extinction in a hierarchically structured environment. In C. Adami, R. Belew, H. Kitano, and C. Taylor, editors, Proceedings of Artificial Life VI, Los Angeles, June 26-29, 1998. MIT Press, 1998. [ bib \| .pdf ]
[328]	C. O. Wilke, S. Altmeyer, and T. Martinetz. Aftershocks in Coherent-Noise Models. Physica D, 120:401-417, 1998. [ bib \| .pdf ]
[329]	C. O. Wilke and T. Martinetz. A coarse-grained model of evolution with variable system size. In P. Dittrich, H. Rauhe, and W. Banzhaf, editors, 2nd German Workshop on Artificial Life, Dortmund 1998 = SYS Report, Internal Report of Systems Analysis Research Group, University of Dortmund, Department of Computer Science, Dortmund, Germany, 1998. [ bib \| .ps.gz ]
[330]	C.O. Wilke and T. Martinetz. Hierarchical noise in large systems of independent agents. Phys. Rev. E, 58(6):7101-7108, 1998. [ bib \| .pdf ]
[331]	H. G. Danielmeyer. What industry expects from science. European Review, 5, No.2:185-191, 1997. [ bib \| .pdf ]
[332]	H. G. Danielmeyer. The Development of the Industrial Society. European Review 5, (4):371-381, 1997. [ bib ]
[333]	G. Krieger, C. Zetzsche, and E. Barth. Higher-order statistics of natural images and their exploitation by operators selective to intrinsic dimensionality. In 1997 IEEE Signal Processing Workshop on Higher-Order statistics, pages 147-151, 1997. [ bib ]
[334]	T. Villmann, R. Der, M. Herrmann, and T. Martinetz. Topology Preservation in Self-Organizing Feature Maps: Exact Definition and Measurement. IEEE-Transactions on Neural Networks, 8(2):256-266, 1997. [ bib \| .pdf ]
[335]	C. O. Wilke and T. Martinetz. A Simple Model of Evolution with Variable System Size. Phys. Rev. E, 56:7128-7131, 1997. [ bib \| .pdf ]
[336]	C. Zetzsche, E. Barth, G. Krieger, and B. Wegmann. Neural network models and the visual cortex: The missing link between cortical orientation selectivity and the natural environment. Neuroscience Letters, 228(3):155-158, 1997. [ bib ]
[337]	Jonas Gomes, Cicero Mota, Romildo José da Silva, and Luiz Velho. Image effects using contractive mappings. In Luiz Velho, Arnaldo de Albuquerque, and Roberto A. Lotufo, editors, IX Simpósio Brasileiro de Computação Gráfica e Processamento de Imagens, pages 313-320. SBC - Sociedade Brasileira de Computação and UFMG - Universidade Federal de Minas Gerais, Sociedade Brasileira de Computação, October 1996. [ bib ]
[338]	H. G. Danielmeyer and T. Martinetz. Best practice code of the industrial society - the Forum Engelberg model. European Review (Academia Europea), 1996. [ bib ]
[339]	H. G. Danielmeyer and T. Martinetz. Innovation, investment, and sustainable growth. In Acta 7. Forum Engelberg, 1996. [ bib ]
[340]	T. Martinetz, O. Gramckow, P. Protzel, and G. Sörgel. Neuronale Netze zur Steuerung von Walzstraßen. atp - Automatisierungstechnische Praxis, 10/96, 1996. [ bib \| .pdf ]
[341]	Ingo Rentschler and Erhardt Barth. Caos nella testa, ordine nell' immagine. In M. F. Turno, E. Liotta, and F. Orsucci, editors, Fra ordine e caos, pages 204-211, Roma, 1996. Cosmopoli. [ bib ]
[342]	I. Rentschler, E. Barth, C. Zetzsche, and M. Jüttner. Generalization of form in visual pattern classification. Spatial Vision, Special Issue on: Perceptual Learning and Adaption in Man and Machine: Part 2, 10(1):59-85, 1996. [ bib ]
[343]	I. Rentschler, E. Barth, C. Zetzsche, and M. Jüttner. On the generalization of symmetry relations in visual pattern classification. In C. Tyler, editor, Human Symmetry Perception and its Computational Analysis, pages 237-264, Utrecht, 1996. VSP. [ bib ]
[344]	E. Barth. Geometrische Analyse und iterative Synthese von Bildern. VDI Verlag, Düsseldorf, 1995. Reihe: Informatik/Kommunikationstechnik. [ bib ]
[345]	G. Krieger, C. Zetzsche, and E. Barth. Nonlinear image operators for the detection of local intrinsic dimensionality. In Proc. IEEE Workshop Nonlinear Signal and Image Processing, pages 182-185, 1995. [ bib ]
[346]	T. Martinetz and J. Hollatz. Neuro-Fuzzy in der Prozeßautomatisierung. In K. W. Bonfig, editor, Neuro-Fuzzy in der industriellen Automatisierung, pages 135-144, Renningen, 1995. expert-Verlag. [ bib \| .pdf ]
[347]	T. Martinetz, P. Protzel, and O. Gramckow. Walzwerksteuerung mit neuronalen Netzen. In Neuronale Netze: Anwendungen in der Automatisierungstechnik, Bericht 1184, pages 35-42, Düsseldorf, 1995. VDI-Verlag. Auch im Jahrbuch 1997 der VDI/VDE-Gesellschaft Mess- und Automatisierungstechnik, pages 333-340, Düsseldorf 1995. VDI-Verlag. [ bib \| .pdf ]
[348]	T. Martinetz, P. Protzel, O. Gramckow, and G. Sörgel. Neural Network Control for Steel Rolling Mills. In B. Kappen and S. Gielen, editors, Neural Networks: Artificial Intelligence and Industrial Applications, pages 280-286, Heidelberg, 1995. Springer. [ bib \| .pdf ]
[349]	T. Martinetz. Lernverfahren für komplexe Aktuatorik/Robotik. In H. J. Zimmermann, editor, Neuro-Fuzzy Technologien - Anwendungen, pages 89-101, Düsseldorf, 1995. VDI-Verlag. [ bib \| .pdf ]
[350]	E. Barth, C. Zetzsche, and G. Krieger. Curvature from a non-differential viewpoint: perspectives from visual information processing. In Proceedings of the 4th Conference on Theoretical Physics, General Relativity and Gravitation, Bistrita, Romania, May 1994, volume 4-5, pages 84-91, 1994. [ bib \| .html ]
[351]	G. Deco and T. Martinetz. Regularizing stochastic Pott neural networks by penalizing mutual information. In M. Marinaro and P. Morasso, editors, Proceedings of the International Conference on Artificial Neural Networks (ICANN-94), Sorrent, pages 693-696, Heidelberg, 1994. Springer. [ bib \| .pdf ]
[352]	T. Martinetz and T. Poppe. A neural network approach to estimating material properties. In Proceedings of the World Congress on Neural Networks (WCNN-94), San Diego, pages 541-544, 1994. [ bib \| .pdf ]
[353]	T. Martinetz, P. Protzel, O. Gramckow, and G. Sörgel. Neural network control for rolling mills. In Proceedings of the Second European Congress on Intelligent Techniques and Soft Computing (EUFIT-94), Aachen, volume I, pages 147-152, 1994. [ bib \| .pdf ]
[354]	T. Martinetz and K. Schulten. Topology representing networks. Neural Networks, 7(3):507-522, 1994. [ bib \| .pdf ]
[355]	T. Martinetz. Neural learning can form structures from computational geometry. In Tagungsband des 39. internationalen wissenschaftlichen Kolloquiums, Ilmenau, volume II, pages 206-211, 1994. [ bib \| .pdf ]
[356]	T. Poppe, T. Martinetz, and K. Hohendahl. Optimierte Steuerung eines Elektrolichtbogenofens. In M. Schlang, B. Schürmann, and E. Linzenkirchner, editors, Neue Techniken der Informationsverarbeitung, pages 19-29, München, 1994. Winkler-Verlag. [ bib \| .pdf ]
[357]	T. Villmann, R. Der, M. Herrmann, and T. Martinetz. Topology preservation in self-organizing feature maps: general definition and efficient measurement. In Lecture Notes in Computer Science, pages 159-166, Heidelberg, 1994. Springer. [ bib \| .pdf ]
[358]	T. Villmann, R. Der, and T. Martinetz. A new quantitative measure of topology preservation in Kohonen's feature maps. In Proceedings of the IEEE International Conference on Neural Networks (ICNN-94), Orlando, volume II, pages 645-648, 1994. [ bib \| .pdf ]
[359]	T. Villmann, R. Der, and T. Martinetz. A novel approach to measure the toplogy preservation of feature maps. In M. Marinaro and P. Morasso, editors, Proceedings of the International Conference on Artificial Neural Networks (ICANN-94), Sorrent, pages 298-301, Heidelberg, 1994. Springer. [ bib \| .pdf ]
[360]	C. Zetzsche, G. Krieger, E. Barth, B. Wegmann, and G. Hauske. Nichtlineare Operatoren und Bindungen höherer Ordnung in der biologischen und technischen musterverarbeitung. In Momente höherer Ordnung: Algorithmen und deren Anwendung, pages 75-83, 1994. ITG/VDE, ISIA, TH Darmstadt, September 1994. [ bib ]
[361]	Erhardt Barth, Terry Caelli, and Christoph Zetzsche. Image encoding, labeling, and reconstruction from differential geometry. CVGIP: Graphical Models and Image Processing, 55(6):428-446, November 1993. [ bib \| .html \| .pdf ]
[362]	Christoph Zetzsche, Erhardt Barth, and Bernhard Wegmann. The importance of intrinsically two-dimensional image features in biological vision and picture coding. In Andrew B. Watson, editor, Digital Images and Human Vision, pages 109-38. MIT Press, October 1993. [ bib \| .html ]
[363]	E. Barth, C. Zetzsche, M. Ferraro, and I. Rentschler. Fractal properties from 2D-curvature on multiple scales. In B. Vemuri, editor, Geometric Methods in Computer Vision II, SPIE, volume 2031, pages 87-99, 1993. [ bib \| .html ]
[364]	T. Martinetz, S. Berkovich, and K. Schulten. "Neural-gas" Network for Vector Quantization and its Application to Time-Series Prediction. IEEE-Transactions on Neural Networks, 4(4):558-569, 1993. [ bib \| .pdf ]
[365]	T. Martinetz and K. Schulten. A neural network for robot control: cooperation between neural units as a requirement for learning. Computers & Electrical Engineering, 19(4):315-332, 1993. [ bib \| .pdf ]
[366]	T. Martinetz and K. Schulten. A Neural Network with Hebbian-like Adaption Rules Learning Visuomotor Coordination of a PUMA Robot. In Proceedings of the IEEE International Conference on Neural Networks (ICNN-93), San Francisco, volume II, pages 820-825, 1993. [ bib \| .pdf ]
[367]	T. Martinetz. Competitive hebbian learning rule forms perfectly topology preserving maps. In S. Gielen and B. Kappen, editors, Proceedings of the International Conference on Artificial Neural Networks (ICANN-93), Amsterdam, pages 427-434, Heidelberg, 1993. Springer. [ bib \| .pdf ]
[368]	T. Martinetz. Neuronale Karten in der Robotik: Lernen visuell geführter Greifbewegungen. In Konferenzband des 3. Anwendersymposiums zu Neuro-Fuzzy Technologien, Bochum, 1993. [ bib \| .pdf ]
[369]	T. Poppe and T. Martinetz. Estimating material properties for process optimization. In S. Gielen and B. Kappen, editors, Proceedings of the International Conference on Artificial Neural Networks (ICANN-93), Amsterdam, pages 795-798, Heidelberg, 1993. Springer. [ bib \| .pdf ]
[370]	C. Zetzsche, B. Wegmann, and E. Barth. Nonlinear Aspects of Primary Vision: Entropy Reduction Beyond Decorrelation. In SID 93 DIGEST, pages 933-936, 1993. [ bib \| .pdf ]
[371]	T. Martinetz. Selbstorganisierende neuronal Netzwerkmodelle zur Bewegungssteuerung, 1992. Dissertationen zur künstlichen Intelligenz. [ bib ]
[372]	H. Ritter, T. Martinetz, and K. Schulten. Neural Computation and Self-Organizing Maps: An Introduction. Addison-Wesley, Massachusetts, 1992. [ bib \| .pdf ]
[373]	J. Schuchhardt, J. C. geb. Gruel Claussen, N. Lüthje, L. Molgedey, G. Radons, and H. G. Schuster. Neural Networks for the Classification of Sound Patterns, pages 192-202. VCH Wiley, 1992. (ed. Heinz Georg Schuster). [ bib ]
[374]	E. Barth, T. Caelli, and C. Zetzsche. Efficient visual representation and reconstruction from generalised curvature measures. In B. Vemuri, editor, Geometric Methods in Computer Vision, SPIE, volume 1570, pages 86-95, 1991. [ bib \| .html ]
[375]	S. Berkovich, P. Dalger, T. Hesselroth, T. Martinetz, B. Noël, J. Walter, and K. Schulten. Vector quantization algorithm for time-series prediction and visuo-motor control of robots. In H. W. Brauer, editor, Verteilte Künstliche Intelligenz und Kooperatives Arbeiten, pages 443-447, Heidelberg, 1991. [ bib ]
[376]	T. Caelli, M. Ferraro, and E. Barth. Aspects of invariant pattern and object recognition. In H. Wechsler, editor, Neural Networks for Perception. Vol. 1: Human and Machine Perception, pages 234-247, San Diego, 1991. Academic Press. [ bib ]
[377]	T. Martinetz and K. Schulten. A "Neural-Gas" Network Learns Topologies. Artificial Neural Networks, I:397-402, 1991. [ bib \| .pdf ]
[378]	H. Ritter, T. Martinetz, and K. Schulten. Neuronale Netze - eine Einführung in die Neuroinformatik selbstorganisierender Netzwerke. Addison-Wesley, Bonn, 2 edition, 1991. [ bib ]
[379]	J. Walter, T. Martinetz, and K. Schulten. Industrial Robot learns Visuo-motor Coordination by Means of "Neural-Gas" Network. In T. Kohonen et al., editor, Artificial Neural Networks, volume I, pages 357-364, Amsterdam, 1991. [ bib \| .pdf ]
[380]	Christoph Zetzsche and Erhardt Barth. Direct detection of flow discontinuities by 3D curvature operators. Pattern Recognition Letters, 12:771-9, 1991. [ bib ]
[381]	Christoph Zetzsche, Erhardt Barth, and Joachim Berkmann. Spatio-temporal curvature measures for flow-field analysis. SPIE Geometric Methods in Computer Vision, 1570:337-350, 1991. [ bib ]
[382]	T. Martinetz, H. Ritter, and K. Schulten. Learning of Visuomotor-Coordination of a Robot Arm with Redundant Degrees of Freedom. In R. Eckmiller, G. Hartmann, and G. Hauske, editors, Proceedings of the International Conference on Parallel Processing in Neural Sytems and Computers (ICNC-90), Düsseldorf 1990, pages 431-434, Amsterdam, 1990. And in: Proceedings of the Third International Symposium on Robotics and Manufacturing, Vancouver 1990 (ISRAM-90), pages 521-526, 1990. [ bib \| .pdf ]
[383]	T. Martinetz, H. Ritter, and K. Schulten. Three-Dimensional Neural Net for Learning Visuomotor Coordination of a Robot Arm. IEEE-Transactions on Neural Networks, 1(1):131-136, 1990. [ bib \| .pdf ]
[384]	T. Martinetz and K. Schulten. Hierarchical Neural Net for Learning Control of a Robot's Arm and Gripper. In Proceedings of the International Joint Conference on Neural Networks (IJCNN-90), San Diego 1990, volume II, pages 747-752, 1990. [ bib \| .pdf ]
[385]	H. Ritter, T. Martinetz, and K. Schulten. Neuronale Netze - eine Einführung in die Neuroinformatik selbstorganisierender Netzwerke. Addison-Wesley, Bonn, 1990. [ bib ]
[386]	Christoph Zetzsche and Erhardt Barth. Fundamental limits of linear filters in the visual processing of two-dimensional signals. Vision Research, 30:1111-1117, 1990. [ bib \| .pdf ]
[387]	Christoph Zetzsche and Erhardt Barth. Image surface predicates and the neural encoding of two-dimensional signal variation. In Bernice E. Rogowitz, editor, Human Vision and Electronic Imaging: Models, Methods, and Applications, volume SPIE 1249, pages 160-177, 1990. [ bib ]
[388]	E. Barth. Vom geometrischen Krümmungsbegriff zur systemtheoretischen Analyse von zweidimensionalen Bildmerkmalen. Diploma thesis, Lehrstuhl für Nachrichtentechnik der TU München, 1989. [ bib ]
[389]	T. Martinetz, H. Ritter, and K. Schulten. 3D-Neural-Net for Learning Visuomotor-Coordination of a Robot Arm. In Proceedings of the International Joint Conference on Neural Networks (IJCNN-89), Washington 1989, volume II, pages 351-356, 1989. [ bib \| .pdf ]
[390]	T. Martinetz, H. Ritter, and K. Schulten. Kohonen's Self-organizing Map for Modeling the Formation of the Auditory Cortex of a Bat. In R. Pfeifer, Z. Schreter, F. Fogelman-Soulie, and L. Steels, editors, Connectionism in Perspective, pages 403-412, Amsterdam, 1989. [ bib \| .pdf ]
[391]	H. Ritter, T. Martinetz, and K. Schulten. Ein Gehirn für Roboter - Wie neuronale Netzwerke Roboter steuern können. MC-Computermagazin, 2:48-61, 1989. [ bib \| .pdf ]
[392]	H. Ritter, T. Martinetz, and K. Schulten. Topology-Conserving Maps for Learning Visuo-Motor-Coordination. Neural Networks, 2:159-168, 1989. [ bib \| .pdf ]
[393]	H. Ritter, T. Martinetz, and K. Schulten. Topology-Conserving Maps for Motor Control. In L. Personnaz and G. Dreyfus, editors, Neural Networks, from Models to Applications, pages 579-591. EZIDET, 1989. [ bib \| .pdf ]
[394]	T. Martinetz. Selbstorganisierte visuo-motorische Kopplung. Master's thesis, Technical University of Munich, 1988. Diploma Thesis. [ bib ]
[395]	D. Pruss, G. Huber, and H. G. Danielmeyer. Synchroton Radiation time-resolved Study of Lattice Changes induced by Laser Pulse Excitation. Acta Chryst., (A73, Suppl. S):C-306, 1981. [ bib ]
[396]	G. Huber and H. G. Danielmeyer. Recent Developments in Solid State Laser Materials ii: Spectroscopic and Laser Properties. In Proc. Intl. Conf. on Lasers, Orlando, 1980. [ bib ]
[397]	G. Huber and H. G. Danielmeyer. NdP5O14 and NdAl3(BO3)4 Lasers at 1.3 ym. Appl. Phys., (18):77, 1979. [ bib ]
[398]	H. D. Hattendorf, G. Huber, and H. G. Danielmeyer. Efficient Cross Pumping of Nd3+ by Cr3+ in Nd(AlCr)3(BO3)4. J. Phys., (C11):2399, 1978. [ bib ]
[399]	G. Huber and H. G. Danielmeyer. Miniature Nd3+ Lasers at 1.3 ym. In IEEE Catalogue 78, page 631, 1978. [ bib ]
[400]	H. G. Danielmeyer. Efficiency and Fluorescence Quenching in of Stoichiometric Rare Earth Laser Materials. J. Luminescence, (12/13):179, 1976. [ bib ]
[401]	M. Sargent III, P. Toschek, and H. G. Danielmeyer. Unidirectional Saturation Spectroscopy i: Theory and short Dipole Lifetime Limit. Appl. Phys., (11):55, 1976. [ bib ]
[402]	H. G. Danielmeyer. Progress in Nd:YAG Lasers. In A. K. Levine and A. J. DeMaria, editors, Lasers, A Series of Advances IV. Marcel Deccer Inc., 1975. Also Habilitation. [ bib ]
[403]	H. G. Danielmeyer. Stoichiometric Laser Materials. In H. J. Queisser, editor, Festkörperprobleme XV - Advances in Solid State Physics. Vieweg, 1975. [ bib ]
[404]	H. G. Danielmeyer. Oscillators and Amplifiers for integrated Optics. Opto-Electronics Laser, (75):20, 1975. [ bib ]
[405]	G. Huber, W. B. Holzapfel, and H. G. Danielmeyer. Pressure Effects on the Eu3+-Fluorescence in Europium Pentaphosphate. In Europhys. Conf. Abstracts 1A, page 94, 1975. [ bib ]
[406]	G. Huber, W. W. Krühler, W. Bludau, and H. G. Danielmeyer. Anisotropy in the Laser Performance of NdP5O14. Appl. Phys., (4):358, 1975. [ bib ]
[407]	W. W. Krühler, G. Huber, H. G. Danielmeyer, and V. Nekvasil. Correlations between Site geometries and Level Energies in the Laser System Nd1-xYxP5O14. Appl. Phys., (8):261, 1975. [ bib ]
[408]	H. G. Danielmeyer, J. P. Jeser, E. Schönherr, and W. Stetter. The growths of Laser Quality NdP5O14 Crystals. J. Crystal Growth, (22):298, 1974. [ bib ]
[409]	H. G. Danielmeyer and W. N. Leiboldt. Ultrastable Tunable Single Frequency Nd: YAG Laser. Appl. Phys., (3):193, 1974. [ bib ]
[410]	G. Huber, J. P. Jeser, W. W. Krühler, and H. G. Danielmeyer. Laser Action in Pentaphosphate Crystals. IEEE J. Quantum Electr., (1O):766, 1974. [ bib ]
[411]	M. Blätte, H. G. Danielmeyer, and R. Ulrich. Energy Transfer and the complete Level System of NdUP. Appl. Phys., (1):275, 1973. [ bib ]
[412]	H. G. Danielmeyer, M. Blätte, and P. Palmer. Fluorescence Quenching in Nd:YAG. Appl. Phys., (1):269, 1973. [ bib ]
[413]	H. G. Danielmeyer, G. Huber, W. W. Krühler, and J. P. Jeser. Continuous Oscillation of a (Sc,Nd)-Pentaphosphate Laser with 4 Milliwatts Pump Threshold. Appl. Phys., (2):335, 1973. [ bib ]
[414]	W. W. Krühler, J. P. Jeser, and H. G. Danielmeyer. Properties and Laser Oscillation of the (Nd,Y)-Pentaphosphate System. Appl. Phys., (2):329, 1973. [ bib ]
[415]	H. P. Weber, T. C. Damen, H. G. Danielmeyer, and B. C. Tofield. Nd-Ultraphosphate Laser. Appl. Phys. Lett., (22):534, 1973. [ bib ]
[416]	H. G. Danielmeyer and F. W. Ostermayer Jr. Diode Pump modulated Nd: YAG Laser,1. Appl. Phys., (43):2911, 1972. [ bib ]
[417]	H. G. Danielmeyer and H. P. Weber. Fluorescence in Neodymium Ultraphosphate. IEEE J. Qiantum Electr., (QE-8):805, 1972. [ bib ]
[418]	H. G. Danielmeyer and J. M. Barro. Laser Pump Cavity with Conical Geometry. Appl. Opt., (10):1983, 1971. [ bib ]
[419]	H. G. Danielmeyer and E. H. Turner. Electrooptic Elimination of spectral Hole burning in lasers. Appl. Phys. Lett., (17):519, 1971. [ bib ]
[420]	H. G. Danielmeyer and H. P. Weber. Direct Measurement of the Group Velocity of Light. Phys. Rev., (3A):1708, 1971. [ bib ]
[421]	H. G. Danielmeyer and W. G Nilsen. Spontaneous Single Frequency Output from a spatiually homogeneous Nd:YAG Laser. Appl. Phys. Lett., (16):124, 1970. [ bib ]
[422]	H. G. Danielmeyer. Stabilized efficient single Frequency Nd: YAG Laser. IEEE J Quantum Electr., (QE-6):101, 1970. [ bib ]
[423]	H. G. Danielmeyer. Aperture corrections for Sound Absorption Measurements with Light Scattering. J. Acoust. Soc. Am., (47):151, 1970. [ bib ]
[424]	H. G. Danielmeyer. Low Frequency Dynamics of homogeneously broadened Four-Level CW Lasers. J. Appl. Phys., (41):4014, 1970. [ bib ]
[425]	H. P. Weber and H. G. Danielmeyer. Multimode Effects in Intensity Correlation Measurements. Phys. Rev., (2A):2074, 1970. [ bib ]
[426]	J. E. Bjorkholm and H. G. Danielmeyer. Frequency Control of a pulsed parametric Oscillator by Radiation Injection. Appl. Phys. Lett., (15):171, 1969. [ bib ]
[427]	P. W. Smith, M. V. Schneider, and H. G. Danielmeyer. High Power Single Frequency Lasers using thin Metal Film Mode selection Filters. Bell System Tech. J., (48):1405, 1969. [ bib ]
[428]	H. G. Danielmeyer. Ein Seitenbandverfahren für breitbandige Ultraschallmessstrecken. Z. Angew. Physik, (22), 1967. [ bib ]
[429]	H. G. Danielmeyer. Pulsed wide Band ultrasonic measuring Bridge for Liquids and Solids. Acoust. Soc. Am., (41):1021, 1967. [ bib ]
[430]	H. G. Danielmeyer. Schallabsorption durch optische Phononen in Molekülkristallen. Acustica, (17):102, 1966. [ bib ]
[431]	H. G. Danielmeyer. Schwingungsrelaxation in Molekülkristallen. In D. E. Commins, editor, 5th Int. Congress on Acoustics (ICA), Lüttich, 1965. Also my Ph. D. thesis, TH Stuttgart. Translated into English at Brown University, RI (USA). [ bib ]
[432]	H. G. Danielmeyer. Molekulare Schallabsorption in Benzol und Zyklohexan. Z. Physik, (178):287, 1964. [ bib ]
[433]	H. G. Danielmeyer and H. O. Kneser. Schallabsorption in flüssigem und festem Brom. Z. Physik, (172):80, 1963. [ bib ]
[434]	H. G. Danielmeyer and H. O. Kneser. Schwingungsrelaxation in flüssigem und festem Brom. In A. K. Nielsen, editor, 4th Int. Congress on Acoustics (ICA), Kopenhagen, 1962. Also my Master thesis, TH Stuttgart. [ bib ]

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