Dr. Jens Hocke

Data Scientist

Blue Yonder Gmbh
Heidenkampsweg 45
20097 Hamburg

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Publikationen

2015

  • Jens Hocke and Thomas Martinetz: Learning Transformation Invariance from Global to Local. in Workshop New Challenges in Neural Computation 2015, no. 03, pp. 16-24, 2015
    BibTeX
    @inproceedings{HoMa15,
    author= {Jens Hocke and Thomas Martinetz},
    title = {{L}earning {T}ransformation {I}nvariance from {G}lobal to {L}ocal},
    booktitle = {Workshop New Challenges in Neural Computation 2015},
    editor = {Barbara Hammer and Thomas Villmann},
    series={Machine Learning Reports},
    volume = {03},
    year = {2015},
    pages = {16--24},
    pdf = {http://www.inb.uni-luebeck.de/publications/pdfs/HoMa15.pdf},
    }
    
    
  • Hocke, Jens and Martinetz, Thomas: Maximum Distance Minimization for Feature Weighting. Pattern Recognition Letters, no. 52, pp. 48-52, 2015
    BibTeX
    @article{HoMa15a,
    author = {Hocke, Jens and Martinetz, Thomas},
    title = {Maximum {D}istance {M}inimization for {F}eature {W}eighting},
    journal = {Pattern Recognition Letters},
    volume = {52},
    pages = {48--52},
    year = {2015},
    pdf = {http://www.inb.uni-luebeck.de/publications/pdfs/HoMa15a.pdf},
    }
    
    

2014

  • Jens Hocke and Thomas Martinetz: Global Metric Learning by Gradient Descent. in Artificial Neural Networks and Machine Learning - ICANN 2014 - 24th International Conference on Artificial Neural Networks, Hamburg, Germany, September 15-19, 2014. Proceedings, no. 8681, pp. 129-135, Springer, 2014
    BibTeX
    @inproceedings{HoMa14,
    author = {Jens Hocke and Thomas Martinetz},
    title = {Global {M}etric {L}earning by {G}radient {D}escent},
    editor = {Stefan Wermter and Cornelius Weber and Wlodzislaw Duch and Timo Honkela and Petia D. Koprinkova{-}Hristova and Sven Magg and G{\"{u}}nther Palm and Alessandro E. P. Villa},
    booktitle = {Artificial Neural Networks and Machine Learning - {ICANN} 2014 - 24th International Conference on Artificial Neural Networks, Hamburg, Germany, September 15-19, 2014. Proceedings},
    publisher = {Springer},
    series = {Lecture Notes in Computer Science},
    volume = {8681},
    pages = {129--135},
    year = {2014},
    pdf = {http://www.inb.uni-luebeck.de/publications/pdfs/HoMa14.pdf},
    }
    
    
  • Jens Hocke and Thomas Martinetz: Learning Transformation Invariance for Object Recognition. in Workshop New Challenges in Neural Computation 2014, no. 02, pp. 20-25, 2014
    BibTeX
    @inproceedings{HoMa14b,
    author= {Jens Hocke and Thomas Martinetz},
    title = {{L}earning {T}ransformation {I}nvariance for {O}bject {R}ecognition},
    booktitle = {Workshop New Challenges in Neural Computation 2014},
    editor = {Barbara Hammer and Thomas Villmann},
    series = {Machine Learning Reports},
    volume = {02},
    year = {2014},
    pages = {20--25},
    pdf = {http://www.inb.uni-luebeck.de/publications/pdfs/HoMa14b.pdf},
    }
    
    

2013

  • Hocke, Jens and Martinetz, Thomas: Application of Maximum Distance Minimization to Gene Expression Data. in Workshop New Challenges in Neural Computation 2013, no. 02, pp. 6-7, 2013
    BibTeX
    @inproceedings{HoMa13a,
    author={Hocke, Jens and Martinetz, Thomas},
    title = {{A}pplication of {M}aximum {D}istance {M}inimization to {G}ene {E}xpression {D}ata},
    booktitle = {Workshop New Challenges in Neural Computation 2013},
    editor = {Barbara Hammer and Thomas Martinetz and Thomas Villmann},
    series ={Machine Learning Reports},
    volume = {02},
    pages = {6--7},
    year = {2013},
    note = {Short Paper},
    pdf = {http://www.inb.uni-luebeck.de/publications/pdfs/HoMa13a.pdf},
    }
    
    
  • Jens Hocke and Thomas Martinetz: Feature Weighting by Maximum Distance Minimization. in Artificial Neural Networks and Machine Learning - ICANN 2013 - 23rd International Conference on Artificial Neural Networks, Sofia, Bulgaria, September 10-13, 2013. Proceedings, no. 8131, pp. 420-425, Springer, 2013
    BibTeX
    @inproceedings{HoMa13,
    author = {Jens Hocke and Thomas Martinetz},
    title = {Feature {W}eighting by {M}aximum {D}istance {M}inimization},
    booktitle = {Artificial Neural Networks and Machine Learning - {ICANN} 2013 - 23rd International Conference on Artificial Neural Networks, Sofia, Bulgaria, September 10-13, 2013. Proceedings},
    editor = {Valeri Mladenov and Petia D. Koprinkova{-}Hristova and G{\"{u}}nther Palm and Alessandro E. P. Villa and Bruno Appollini and Nikola Kasabov},
    pages = {420--425},
    series = {Lecture Notes in Computer Science},
    volume = {8131},
    publisher = {Springer},
    year = {2013},
    pdf = {http://www.inb.uni-luebeck.de/publications/pdfs/HoMa13.pdf},
    }
    
    

2012

  • Jens Hocke and Michael Dorr and Erhardt Barth: A compressed sensing model of peripheral vision. in Human Vision and Electronic Imaging XVII, no. 8291, Proceedings of SPIE, 2012
    BibTeX
    @inproceedings{HoDoBa12,
    author = {Jens Hocke and Michael Dorr and Erhardt Barth},
    title = {A compressed sensing model of peripheral vision},
    editor = {Bernice E. Rogowitz and Thrasyvoulos N. Pappas and Huib de Ridder},
    booktitle = {Human Vision and Electronic Imaging XVII},
    publisher = {Proceedings of SPIE},
    volume = {8291},
    year = {2012},
    pdf = {http://www.inb.uni-luebeck.de/publications/pdfs/HoDoBa12.pdf},
    }
    
    
  • Jens Hocke and Erhardt Barth and Thomas Martinetz: Application of non-linear transform coding to image processing. in Human Vision and Electronic Imaging XVII, no. 8291, Proceedings of SPIE, 2012
    BibTeX
    @inproceedings{HoBaMa12,
    author = {Jens Hocke and Erhardt Barth and Thomas Martinetz},
    title = {Application of non-linear transform coding to image processing},
    editor = {Bernice E. Rogowitz and Thrasyvoulos N. Pappas and Huib de Ridder},
    booktitle = {Human Vision and Electronic Imaging XVII},
    publisher = {Proceedings of SPIE},
    volume = {8291},
    year = {2012},
    pdf = {http://www.inb.uni-luebeck.de/publications/pdfs/HoBaMa12.pdf},
    }
    
    
  • Hocke, Jens and Martinetz, Thomas: Experience in Training (Deep) Multi-Layer Perceptrons to Classify Digits. in Workshop New Challenges in Neural Computation 2012, no. 03, pp. 113-115, 2012
    BibTeX
    @inproceedings{HoMa12,
    author={Hocke, Jens and Martinetz, Thomas},
    title = {{E}xperience in {T}raining ({D}eep) {M}ulti-{L}ayer {P}erceptrons to {C}lassify {D}igits},
    booktitle = {Workshop New Challenges in Neural Computation 2012},
    editor = {Barbara Hammer and Thomas Villmann},
    series={Machine Learning Reports},
    volume = {03},
    year = {2012},
    pages = {113--115},
    note = {Short Paper},
    pdf = {http://www.inb.uni-luebeck.de/publications/pdfs/HoMa12.pdf},
    }
    
    
  • Hocke, Jens and Labusch, Kai and Barth, Erhardt and Martinetz, Thomas: Sparse Coding and Selected Applications. KI - Künstliche Intelligenz, no. 26, pp. 349-355, Springer Berlin / Heidelberg, 2012
    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},
    pdf = {http://www.inb.uni-luebeck.de/publications/pdfs/HoLaBaMa12.pdf},
    }
    
    

2011

  • Hocke, Jens and Martinetz, Thomas and Barth, Erhardt: Image Deconvolution with Sparse Priors. in Workshop New Challenges in Neural Computation 2011, no. 05, pp. 9, 2011
    BibTeX
    @inproceedings{HoMaBa11,
    author={Hocke, Jens and Martinetz, Thomas and Barth, Erhardt},
    title = {{I}mage {D}econvolution with {S}parse {P}riors},
    booktitle = {Workshop New Challenges in Neural Computation 2011},
    editor = {Barbara Hammer and Thomas Villmann},
    series={Machine Learning Reports},
    volume = {05},
    year = {2011},
    pages = {9},
    note = {Abstract},
    }