Dr. Kai Labusch
Wissenschaftlicher Mitarbeiter
Institut für Neuro- und Bioinformatik
Ratzeburger Allee 160 (Geb. 64)
23562 Lübeck
| Email: | labusch(at)inb.uni-luebeck.de |
| Phone: | +49 451 500 5501 |
| Fax: | +49 451 500 5502 |
Research interests
- Learning of sparse codes
- Feature extraction using sparse codes
- Fast and simple algorithms for supervised learning (SVM)
Publikationen
2012
Jens
Hocke,
Kai
Labusch,
Erhardt
Barth, and
Thomas
Martinetz,
Sparse Coding and Selected Applications, KI - Künstliche Intelligenz , vol. 26, no. 4, pp. 349--355, 2012. Springer Berlin / Heidelberg.
Sparse Coding and Selected Applications, KI - Künstliche Intelligenz , vol. 26, no. 4, pp. 349--355, 2012. Springer Berlin / Heidelberg.
| Datei: |  HoLaBaMa12.pdf
|
| Bibtex: |  @article{HoLaBaMa12,
author = {Hocke, Jens and Labusch, Kai and Barth, Erhardt and Martinetz, Thomas},
title = {Sparse {C}oding and {S}elected {A}pplications},
publisher = {Springer Berlin / Heidelberg},
journal = {KI - K\"unstliche Intelligenz},
number = {4},
volume = {26},
pages = {349--355},
year = {2012},
url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/HoLaBaMa12.pdf}
}
|
2011
Kai
Labusch,
Erhardt
Barth, and
Thomas
Martinetz,
Soft-competitive Learning of Sparse Codes and its Application to Image Reconstruction, Neurocomputing , vol. 74, no. 9, pp. 1418--1428, 04 2011.
Soft-competitive Learning of Sparse Codes and its Application to Image Reconstruction, Neurocomputing , vol. 74, no. 9, pp. 1418--1428, 04 2011.
| Datei: | LaBaMa11.pdf
|
| Bibtex: | @article{LaBaMa11,
author = {Kai Labusch and Erhardt Barth and Thomas Martinetz},
title = {Soft-competitive {L}earning of {S}parse {C}odes and its {A}pplication to {I}mage {R}econstruction},
journal= {Neurocomputing},
volume = {74},
number = {9},
month = {04},
pages = {1418--1428},
year = {2011},
url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/LaBaMa11.pdf}
}
|
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 , vol. 5, no. 5, pp. 1048--1060, 2011.
Robust and Fast Learning of Sparse Codes With Stochastic Gradient Descent, IEEE Transactions on Selected Topics in Signal Processing , vol. 5, no. 5, pp. 1048--1060, 2011.
| Datei: | LaBaMa11b.pdf
|
| Bibtex: | @article{LaBaMa11b,
author = {Kai Labusch and Erhardt Barth and Thomas Martinetz},
journal = {IEEE Transactions on Selected Topics in Signal Processing},
title = {{R}obust and {F}ast {L}earning of {S}parse {C}odes {W}ith {S}tochastic {G}radient {D}escent},
year = {2011},
volume = {5},
pages = {1048--1060},
number = {5},
url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/LaBaMa11b.pdf}
}
|
2010
Kai
Labusch,
Erhardt
Barth, and
Thomas
Martinetz,
Bag of Pursuits and Neural Gas for Improved Sparse Coding, in Proceedings of the 19th International Conference on Computational Statistics , Gilbert Saporta, Eds. Springer, 2010. pp. 327--336.
Bag of Pursuits and Neural Gas for Improved Sparse Coding, in Proceedings of the 19th International Conference on Computational Statistics , Gilbert Saporta, Eds. Springer, 2010. pp. 327--336.
| Datei: | LaBaMa10b.pdf
|
| Bibtex: | @inproceedings{LaBaMa10b,
author = {Kai Labusch and Erhardt Barth and Thomas Martinetz},
title = {{B}ag of {P}ursuits and {N}eural {G}as for {I}mproved {S}parse {C}oding},
editor = {Gilbert Saporta},
booktitle = {Proceedings of the 19th International Conference on Computational Statistics},
publisher = {Springer},
pages = {327--336},
year = {2010},
url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/LaBaMa10b.pdf}
}
|
Ingrid
Brænne,
Kai
Labusch,
Thomas
Martinetz, and
Amir Madany
Mamlouk,
Interpretive Risk Assessment on GWA Data with Sparse Linear Regression, Machine Learning Reports , pp. 61--68, 2010.
Interpretive Risk Assessment on GWA Data with Sparse Linear Regression, Machine Learning Reports , pp. 61--68, 2010.
| Datei: | BrLaMaMa10.pdf
|
| Bibtex: | @article{BrLaMaMa10,
author = {Ingrid Br{\ae}nne and Kai Labusch and Thomas Martinetz and Amir Madany Mamlouk},
title = {Interpretive {R}isk {A}ssessment on {GWA} {D}ata with {S}parse {L}inear {R}egression},
journal = {Machine Learning Reports},
pages = {61--68},
year = {2010},
url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/BrLaMaMa10.pdf}
}
|
Kai
Labusch, and
Thomas
Martinetz,
Learning Sparse Codes for Image Reconstruction, in Proceedings of the 18th European Symposium on Artificial Neural Networks , Michel Verleysen, Eds. D-Side Publishers, 2010. pp. 241--246.
Learning Sparse Codes for Image Reconstruction, in Proceedings of the 18th European Symposium on Artificial Neural Networks , Michel Verleysen, Eds. D-Side Publishers, 2010. pp. 241--246.
| Datei: | LaMa10.pdf
|
| Bibtex: | @inproceedings{LaMa10,
author = {Kai Labusch and Thomas Martinetz},
title = {{L}earning {S}parse {C}odes for {I}mage {R}econstruction},
booktitle = {Proceedings of the 18th European Symposium on Artificial Neural Networks},
publisher = {D-Side Publishers},
year = {2010},
pages = {241--246},
editor = {Michel Verleysen},
url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/LaMa10.pdf}
}
|
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 , Springer, 2010. pp. 337--346.
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 , Springer, 2010. pp. 337--346.
| Datei: | BrLaMa10.pdf
|
| Bibtex: | @inproceedings{BrLaMa10,
author = {Ingrid Br{\ae}nne and Kai Labusch and Amir Madany Mamlouk},
title = {{S}parse {C}oding for {F}eature {S}election on {G}enome-wide {A}ssociation {D}ata},
booktitle = {Artificial Neural Networks - ICANN 2010, 20th International Conference, Thessaloniki,Greece, September 15-18, 2010, Proceedings},
publisher = {Springer},
volume = {6352},
series = {Lecture Notes in Computer Science},
pages = {337--346},
year = {2010},
url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/BrLaMa10.pdf}
}
|
2009
Thomas
Martinetz,
Kai
Labusch, and
Daniel
Schneegaß,
{S}oft{D}ouble{M}ax{M}in{O}ver: {P}erceptron-like {T}raining of {S}upport {V}ector {M}achines, IEEE Transactions on Neural Networks , vol. 20, no. 7, pp. 1061--1072, 2009.
{S}oft{D}ouble{M}ax{M}in{O}ver: {P}erceptron-like {T}raining of {S}upport {V}ector {M}achines, IEEE Transactions on Neural Networks , vol. 20, no. 7, pp. 1061--1072, 2009.
| Datei: | MaLaSc09.pdf
|
| Bibtex: | @article{MaLaSc09,
author = {Thomas Martinetz and Kai Labusch and Daniel Schneega{\ss}},
journal = {IEEE Transactions on Neural Networks},
title = {{S}oft{D}ouble{M}ax{M}in{O}ver: {P}erceptron-like {T}raining of {S}upport {V}ector {M}achines},
year = {2009},
volume = {20},
number = {7},
pages = {1061--1072},
url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-toolsdemos/SoftDoubleMaxMinOver.html},
url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/MaLaSc09.pdf}
}
|
Kai
Labusch,
Erhardt
Barth, and
Thomas
Martinetz,
{S}parse {C}oding {N}eural {G}as: {L}earning of {O}vercomplete {D}ata {R}epresentations, Neurocomputing , vol. 72, no. 7--9, pp. 1547--1555, 2009.
{S}parse {C}oding {N}eural {G}as: {L}earning of {O}vercomplete {D}ata {R}epresentations, Neurocomputing , vol. 72, no. 7--9, pp. 1547--1555, 2009.
| Datei: | SparseCodingNeuralGas.html |
| Bibtex: | @article{LaBaMa09,
author = {Kai Labusch and Erhardt Barth and Thomas Martinetz},
journal = {Neurocomputing},
title = {{S}parse {C}oding {N}eural {G}as: {L}earning of {O}vercomplete {D}ata {R}epresentations},
year = {2009},
volume = {72},
number = {7--9},
pages = {1547--1555},
url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/LaBaMa09.pdf},
url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-toolsdemos/SparseCodingNeuralGas.html}
}
|
Kai
Labusch,
Erhardt
Barth, and
Thomas
Martinetz,
{D}emixing {J}azz-{M}usic: {S}parse {C}oding {N}eural {G}as for the {S}eparation of {N}oisy {O}vercomplete {S}ources, Neural Network World , vol. 19, no. 5, pp. 561--579, 2009. Institute of Information and Computer Technology ASCR; Faculty of Transport, Czech Polytechnic University, Prague.
{D}emixing {J}azz-{M}usic: {S}parse {C}oding {N}eural {G}as for the {S}eparation of {N}oisy {O}vercomplete {S}ources, Neural Network World , vol. 19, no. 5, pp. 561--579, 2009. Institute of Information and Computer Technology ASCR; Faculty of Transport, Czech Polytechnic University, Prague.
| Datei: | SparseCodingNeuralGas.html |
| Bibtex: | @article{LaBaMa09b,
author = {Kai Labusch and Erhardt Barth and Thomas Martinetz},
journal = {Neural Network World},
publisher = {Institute of Information and Computer Technology ASCR; Faculty of Transport, Czech Polytechnic University, Prague},
title = {{D}emixing {J}azz-{M}usic: {S}parse {C}oding {N}eural {G}as for the {S}eparation of {N}oisy {O}vercomplete {S}ources},
volume = {19},
number = {5},
year = {2009},
pages = {561--579},
url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/LaBaMa09b.pdf},
url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-toolsdemos/SparseCodingNeuralGas.html}
}
|
Kai
Labusch,
Erhardt
Barth, and
Thomas
Martinetz,
{A}pproaching the {T}ime {D}ependent {C}ocktail {P}arty {P}roblem with {O}nline {S}parse {C}oding {N}eural {G}as, in Advances in Self-Organizing Maps - WSOM 2009, 7th International Workshop, St. Augustine, Fl, USA, June 2009 , J.C. Principe and R. Miikkulainen, Eds. Springer, 2009. pp. 145--153.
{A}pproaching the {T}ime {D}ependent {C}ocktail {P}arty {P}roblem with {O}nline {S}parse {C}oding {N}eural {G}as, in Advances in Self-Organizing Maps - WSOM 2009, 7th International Workshop, St. Augustine, Fl, USA, June 2009 , J.C. Principe and R. Miikkulainen, Eds. Springer, 2009. pp. 145--153.
| Datei: | LaBaMa09a.pdf
|
| Bibtex: | @inproceedings{LaBaMa09a,
author = {Kai Labusch and Erhardt Barth and Thomas Martinetz},
title = {{A}pproaching the {T}ime {D}ependent {C}ocktail {P}arty {P}roblem with {O}nline {S}parse {C}oding {N}eural {G}as},
editor = {J.C. Principe and R. Miikkulainen},
booktitle = {Advances in Self-Organizing Maps - WSOM 2009, 7th International Workshop, St. Augustine, Fl, USA, June 2009},
publisher = {Springer}, series = {Lecture Notes in Computer Science},
volume = {5629},
pages = {145--153},
year = {2009},
url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-toolsdemos/SparseCodingNeuralGas.html},
url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/LaBaMa09a.pdf}
}
|
2008
Kai
Labusch,
Erhardt
Barth, and
Thomas
Martinetz,
{S}parse {C}oding {N}eural {G}as for the {S}eparation of {N}oisy {O}vercomplete {S}ources, in Artificial Neural Networks - ICANN 2008, 18th International Conference, Prague, Czech Republic, September 3-6, 2008, Proceedings, Part II , Vera Kurkov{\'a} and Roman Neruda and Jan Koutn\'{\i}k, Eds. Springer, 2008. pp. 788--797.
{S}parse {C}oding {N}eural {G}as for the {S}eparation of {N}oisy {O}vercomplete {S}ources, in Artificial Neural Networks - ICANN 2008, 18th International Conference, Prague, Czech Republic, September 3-6, 2008, Proceedings, Part II , Vera Kurkov{\'a} and Roman Neruda and Jan Koutn\'{\i}k, Eds. Springer, 2008. pp. 788--797.
| Datei: | SparseCodingNeuralGas.html |
| Bibtex: | @inproceedings{LaBaMa08b,
author = {Kai Labusch and Erhardt Barth and Thomas Martinetz},
title = {{S}parse {C}oding {N}eural {G}as for the {S}eparation of {N}oisy {O}vercomplete {S}ources},
pages = {788--797},
editor = {Vera Kurkov{\'a} and Roman Neruda and Jan Koutn\'{\i}k},
booktitle = {Artificial Neural Networks - ICANN 2008, 18th International Conference, Prague, Czech Republic, September 3-6, 2008, Proceedings, Part II},
publisher = {Springer},
series = {Lecture Notes in Computer Science},
volume = {5163},
year = {2008},
url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/LaBaMa08b.pdf},
url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-toolsdemos/SparseCodingNeuralGas.html}
}
|
Kai
Labusch,
Erhardt
Barth, and
Thomas
Martinetz,
Learning data representations with Sparse Coding Neural Gas, in Proceedings of the 16th European Symposium on Artificial Neural Networks , Michel Verleysen, Eds. D-Side Publishers, 2008. pp. 233--238.
Learning data representations with Sparse Coding Neural Gas, in Proceedings of the 16th European Symposium on Artificial Neural Networks , Michel Verleysen, Eds. D-Side Publishers, 2008. pp. 233--238.
| Datei: | SparseCodingNeuralGas.html |
| Bibtex: | @inproceedings{LaBaMa08,
author = {Kai Labusch and Erhardt Barth and Thomas Martinetz},
title = {Learning data representations with Sparse Coding Neural Gas},
booktitle = {Proceedings of the 16th European Symposium on Artificial Neural Networks},
publisher = {D-Side Publishers},
year = {2008},
editor = {Michel Verleysen},
pages = {233--238},
url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/LaBaMa08.pdf},
url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-toolsdemos/SparseCodingNeuralGas.html}
}
|
Kai
Labusch,
Erhardt
Barth, and
Thomas
Martinetz,
Simple {M}ethod for {H}igh-{P}erformance {D}igit {R}ecognition {B}ased on {S}parse {C}oding, IEEE Transactions on Neural Networks , vol. 19, no. 11, pp. 1985--1989, 2008.
Simple {M}ethod for {H}igh-{P}erformance {D}igit {R}ecognition {B}ased on {S}parse {C}oding, IEEE Transactions on Neural Networks , vol. 19, no. 11, pp. 1985--1989, 2008.
| Datei: | DigitRecognition.html |
| Bibtex: | @article{LaBaMa08c,
author = {Kai Labusch and Erhardt Barth and Thomas Martinetz},
journal = {IEEE Transactions on Neural Networks},
title = {Simple {M}ethod for {H}igh-{P}erformance {D}igit {R}ecognition {B}ased on {S}parse {C}oding},
year = {2008},
volume = {19},
number = {11},
pages = {1985--1989},
url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/LaBaMa08c.pdf},
url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-toolsdemos/DigitRecognition.html}
}
|
Kai
Labusch,
Fabian
Timm, and
Thomas
Martinetz,
Simple Incremental One-Class {S}upport {V}ector Classification, in Pattern Recognition - Proceedings of the DAGM , Gerhard Rigoll, Eds. 2008. pp. 21--30.
Simple Incremental One-Class {S}upport {V}ector Classification, in Pattern Recognition - Proceedings of the DAGM , Gerhard Rigoll, Eds. 2008. pp. 21--30.
| Datei: | LaTiMa08.pdf
|
| Bibtex: | @inproceedings{LaTiMa08,
author = {Kai Labusch and Fabian Timm and Thomas Martinetz},
title = {Simple Incremental One-Class {S}upport {V}ector Classification},
booktitle = {Pattern Recognition - Proceedings of the DAGM},
editor = {Gerhard Rigoll},
series = {Lecture Notes in Computer Science},
pages = {21--30},
year = {2008},
url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/LaTiMa08.pdf}
}
|
2007
Kai
Labusch,
Udo
Siewert,
Thomas
Martinetz, and
Erhardt
Barth,
Learning optimal features for visual pattern recognition, in Human Vision and Electronic Imaging XII , Bernice E. Rogowitz and Thrasyvoulos N. Pappas and Scott J. Daly, Eds. Proceedings of SPIE, 2007.
Learning optimal features for visual pattern recognition, in Human Vision and Electronic Imaging XII , Bernice E. Rogowitz and Thrasyvoulos N. Pappas and Scott J. Daly, Eds. Proceedings of SPIE, 2007.
| Datei: | LaSiMaBa07.pdf
|
| Bibtex: | @inproceedings{LaSiMaBa07,
author = {Kai Labusch and Udo Siewert and Thomas Martinetz and Erhardt Barth},
title = {Learning optimal features for visual pattern recognition},
booktitle = {Human Vision and Electronic Imaging XII},
publisher = {Proceedings of SPIE},
year = {2007},
volume = {6492},
editor = {Bernice E. Rogowitz and Thrasyvoulos N. Pappas and Scott J. Daly},
url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/LaSiMaBa07.pdf}
}
|
2006
Daniel
Schneegaß,
Kai
Labusch, and
Thomas
Martinetz,
MaxMinOver Regression: A Simple Incremental Approach for Support Vector Function Approximation, in Artificial Neural Networks - ICANN 2006 , Berlin, Heidelberg: Springer, 2006. pp. 150--158.
MaxMinOver Regression: A Simple Incremental Approach for Support Vector Function Approximation, in Artificial Neural Networks - ICANN 2006 , Berlin, Heidelberg: Springer, 2006. pp. 150--158.
| Datei: | ScLaMa06.pdf
|
| Bibtex: | @inproceedings{ScLaMa06,
author = {Daniel Schneega{\ss} and Kai Labusch and Thomas Martinetz},
title = {{M}ax{M}in{O}ver {R}egression: {A} {S}imple {I}ncremental {A}pproach for {S}upport {V}ector {F}unction {A}pproximation},
booktitle = {Artificial Neural Networks - ICANN 2006},
pages = {150--158},
publisher = {Springer},
address = {Berlin, Heidelberg},
year = {2006},
series = {Lecture Notes in Computer Science},
url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/ScLaMa06.pdf}
}
|
2005
Thomas
Martinetz,
Kai
Labusch, and
Daniel
Schneegaß,
Soft{D}ouble{M}in{O}ver: {A} {S}imple {P}rocedure for {M}aximum {M}argin {C}lassification., in Artificial Neural Networks: Biological Inspirations. ICANN 2005: 15th International Conference. Proceedings, Part II , Wlodzislaw Duch and Janusz Kacprzyk and Erkki Oja and Slawomir Zadrozny, Eds. 2005. pp. 301--306.
Soft{D}ouble{M}in{O}ver: {A} {S}imple {P}rocedure for {M}aximum {M}argin {C}lassification., in Artificial Neural Networks: Biological Inspirations. ICANN 2005: 15th International Conference. Proceedings, Part II , Wlodzislaw Duch and Janusz Kacprzyk and Erkki Oja and Slawomir Zadrozny, Eds. 2005. pp. 301--306.
| Datei: | MaLaSc05.pdf
|
| Bibtex: | @inproceedings{MaLaSc05,
author = {Thomas Martinetz and Kai Labusch and Daniel Schneega{\ss}},
title = {Soft{D}ouble{M}in{O}ver: {A} {S}imple {P}rocedure for {M}aximum {M}argin {C}lassification.},
editor = {Wlodzislaw Duch and Janusz Kacprzyk and Erkki Oja and Slawomir Zadrozny},
series = {Lecture Notes in Computer Science},
booktitle = {Artificial Neural Networks: Biological Inspirations. ICANN 2005: 15th International Conference. Proceedings, Part II},
year = {2005},
pages = {301--306},
url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-toolsdemos/SoftDoubleMaxMinOver.html},
url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/MaLaSc05.pdf}
}
|
2004
Kai Labusch,
Max{M}in{O}ver: {E}in neues iteratives {V}erfahren zur {S}upportvektor-{K}lassifikation mit {A}nwendungen in der {G}esichtserkennung, Diploma Thesis, University of Lübeck, 2004.
Max{M}in{O}ver: {E}in neues iteratives {V}erfahren zur {S}upportvektor-{K}lassifikation mit {A}nwendungen in der {G}esichtserkennung, Diploma Thesis, University of Lübeck, 2004.
| Datei: | SoftDoubleMaxMinOver.html |
| Bibtex: | @MastersThesis{Labu04,
author = {Kai Labusch},
title = {Max{M}in{O}ver: {E}in neues iteratives {V}erfahren zur {S}upportvektor-{K}lassifikation mit {A}nwendungen in der {G}esichtserkennung},
school = {University of L{\"u}beck},
type = {Diploma Thesis},
year = {2004},
url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/Labu04.pdf},
url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-toolsdemos/SoftDoubleMaxMinOver.html}
}
|
2002
Kai
Labusch, and
Daniel
Polani,
Sensor {E}volution in a {H}omeokinetic {S}ystem, in Proceedings of the Fifth German Workshop on Artificial Life , Daniel Polani and Jan T. Kim and Thomas Martinetz, Eds. Berlin: Akademische Verlagsgesellschaft Aka, 2002. pp. 199--208.
Sensor {E}volution in a {H}omeokinetic {S}ystem, in Proceedings of the Fifth German Workshop on Artificial Life , Daniel Polani and Jan T. Kim and Thomas Martinetz, Eds. Berlin: Akademische Verlagsgesellschaft Aka, 2002. pp. 199--208.
| Datei: | LaPo02.pdf
|
| Bibtex: | @inproceedings{LaPo02,
author = {Kai Labusch and Daniel Polani},
title = {Sensor {E}volution in a {H}omeokinetic {S}ystem},
booktitle = {Proceedings of the Fifth German Workshop on Artificial Life},
pages = {199--208},
year = {2002},
editor = {Daniel Polani and Jan T. Kim and Thomas Martinetz},
address = {Berlin},
publisher = {Akademische Verlagsgesellschaft Aka},
url = {https://www.inb.uni-luebeck.de/fileadmin/files/publications/inb-publications/pdfs/LaPo02.pdf}
}
|
