Dr. Sascha Klement

Photo of Dr. Sascha  Klement

Managing Director

gestigon GmbH
Innovations Campus Lübeck
Maria-Goeppert-Straße 9a
23562 Lübeck

Email:
Phone:
+49 451 87 92 91 30
Fax:
+49 451 87 92 91 40

Publikationen

2015

  • Coleca, F., State, A., Klement, S., Barth, E., and Martinetz, T.: Self-organizing maps for hand and full body tracking: Neurocomputing, vol. 147, Elsevier, pp. 174-184, 2015, Advances in Self-Organizing Maps Subtitle of the special issue: Selected Papers from the Workshop on Self-Organizing Maps 2012 (WSOM 2012)
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2013

  • Coleca, F., Klement, S., Martinetz, T., and Barth, E.: Real-time skeleton tracking for embedded systems: Mobile Computational Photography, vol. 8667D, Proceedings of SPIE, 2013
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  • Klement, S., Anders, S., and Martinetz, T.: The Support Vector Machine: Classification with the Least Number of Features and Application to Neuroimaging Data: Neural Computation, vol. 25/6, pp. 1548-1584, 2013
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2011

  • Klement, S. and Martinetz, T.: On the Problem of Finding the Least Number of Features by L1-norm Minimisation: ICANN 2011, Part I, al., T. H. e. (Ed.), Springer, Heidelberg, pp. 315-322, 2011
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  • Klement, S., Timm, F., and Barth, E.: Illumination correction for image stitching: Proceedings of the Int. Conference on Imaging Theory and Applications (IMAGAPP), vol. 1, INSTICC, Algarve, Portugal, pp. 81-86, 2011
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2010

  • Klement, S. and Martinetz, T.: The Support Feature Machine for Classifying with the Least Number of Features: Artificial Neural Networks - ICANN 2010, 20th International Conference, Thessaloniki, Greece, September 15-18, 2010, Proceedings, Part II, vol. 6353, Diamantaras, K. I., Duch, W., and Iliadis, L. S. (Ed.), Springer, pp. 88-93, 2010
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  • Klement, S. and Martinetz, T.: A new approach to classification with the least number of features: Proceedings of the 9th International Conference on Machine Learning and Applications - ICMLA 2010, Washington, D.C, USA, 12-14 December, 2010, IEEE Computer Society, pp. 141-146, 2010
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2009

  • Timm, F., Klement, S., Martinetz, T., and Barth, E.: Welding Inspection Using Novel Specularity Features and A One-Class SVM: Proceedings of the Int. Conference on Computer Theory and Applications (VISAPP), vol. 1, INSTICC, Lisboa, Portugal, pp. 146-153, 2009
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2008

  • Klement, S., Madany Mamlouk, A., and Martinetz, T.: Reliability of Cross-Validation for SVMs in High-Dimensional, Low Sample Size Scenarios: Artificial Neural Networks - ICANN 2008, 18th International Conference, Prague, Czech Republic, September 3-6, 2008, Proceedings, Part II, vol. 5163, Kurková, V., Neruda, R., and Koutn`ik, J. (Ed.), Springer, pp. 41-50, 2008, http://www.springerlink.com/content/a852001534335865/
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  • Timm, F., Klement, S., and Martinetz, T.: Fast Model Selection for MaxMinOver-based Training of Support Vector Machines: Proceedings of the 19th Int. Conference on Pattern Recognition (ICPR), IEEE Computer Society Press, Tampa, Florida, USA, 2008
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2006

  • Klement, S.: Incremental Support Vector Regression for Steering Hot Rolling Mills: , 2006
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