Labusch.bib

@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},
  pdf = {http://www.inb.uni-luebeck.de/publications/pdfs/BrLaMa10.pdf},
  optinb_www = {1}
}

@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},
  pdf = {http://www.inb.uni-luebeck.de/publications/pdfs/BrLaMaMa10.pdf},
  optinb_www = {1}
}

@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},
  pdf = {http://www.inb.uni-luebeck.de/publications/pdfs/LaBaMa08.pdf},
  url = {http://www.inb.uni-luebeck.de/tools-demos/scng},
  optinb_www = {1}
}

@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},
  pdf = {http://www.inb.uni-luebeck.de/publications/pdfs/LaBaMa08b.pdf},
  url = {http://www.inb.uni-luebeck.de/tools-demos/scng},
  optinb_www = {1}
}

@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},
  pages = {1985-1989},
  number = {11},
  pdf = {http://www.inb.uni-luebeck.de/publications/pdfs/LaBaMa08c.pdf},
  url = {http://www.inb.uni-luebeck.de/tools-demos/digit-recognition-using-sparse-coding},
  optinb_www = {1}
}

@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},
  pdf = {http://www.inb.uni-luebeck.de/publications/pdfs/LaBaMa09.pdf},
  url = {http://www.inb.uni-luebeck.de/tools-demos/scng},
  optinb_www = {1}
}

@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},
  pages = {145-153},
  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},
  year = {2009},
  pdf = {http://www.inb.uni-luebeck.de/publications/pdfs/LaBaMa09a.pdf},
  url = {http://www.inb.uni-luebeck.de/tools-demos/scng},
  optinb_www = {1}
}

@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},
  pdf = {http://www.inb.uni-luebeck.de/publications/pdfs/LaBaMa09b.pdf},
  url = {http://www.inb.uni-luebeck.de/tools-demos/scng},
  optinb_www = {1}
}

@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 = {April},
  pages = {1418-1428},
  year = {2011},
  pdf = {http://www.inb.uni-luebeck.de/publications/pdfs/LaBaMa11.pdf},
  optinb_www = {1}
}

@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},
  pdf = {http://www.inb.uni-luebeck.de/publications/pdfs/LaBaMa11b.pdf},
  optinb_www = {1}
}

@inproceedings{LaBaMa2010b,
  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},
  pdf = {http://www.inb.uni-luebeck.de/publications/pdfs/LaBaMa2010b.pdf},
  optinb_www = {1}
}

@inproceedings{LaMa2010,
  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},
  pdf = {http://www.inb.uni-luebeck.de/publications/pdfs/LaMa2010.pdf},
  optinb_www = {1}
}

@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},
  pdf = {http://www.inb.uni-luebeck.de/publications/pdfs/LaPo02.pdf},
  optinb_www = {1}
}

@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},
  pdf = {http://www.inb.uni-luebeck.de/publications/pdfs/LaSiMaBa07.pdf},
  optinb_www = {1}
}

@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},
  pdf = {http://www.inb.uni-luebeck.de/publications/pdfs/LaTiMa08.pdf},
  optinb_www = {1}
}

@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},
  pdf = {http://www.inb.uni-luebeck.de/publications/pdfs/Labu04.pdf},
  url = {http://www.inb.uni-luebeck.de/tools-demos/maxminover},
  optinb_www = {1},
  optinb_thesisdiploma = {1}
}

@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},
  pdf = {http://www.inb.uni-luebeck.de/publications/pdfs/MaLaSc05.pdf},
  url = {http://www.inb.uni-luebeck.de/tools-demos/maxminover},
  optinb_www = {1}
}

@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},
  pdf = {http://www.inb.uni-luebeck.de/publications/pdfs/MaLaSc09.pdf},
  url = {http://www.inb.uni-luebeck.de/tools-demos/maxminover},
  optinb_www = {1}
}

@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 = {150-58},
  publisher = {Springer},
  address = {Berlin/Heidelberg},
  year = {2006},
  series = {Lecture Notes in Computer Science},
  pdf = {http://www.inb.uni-luebeck.de/publications/pdfs/ScLaMa06.pdf},
  optinb_www = {1}
}

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