Articles (1): |
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Eichhorn J  , Sinz FH and Bethge M (2009) Natural Image Coding in V1: How Much Use is Orientation Selectivity?
PLoS Computational Biology 5(4:e1000336) 1-16.
 
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Conference papers (1): |
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Eichhorn J , Tolias AS , Zien A , Kuss M , Rasmussen CE , Weston J , Logothetis NK and Schölkopf B (2004) Prediction on Spike Data Using Kernel Algorithms
In: Advances in Neural Information Processing Systems 16, (Ed) S Thrun, LK Saul and B Schölkopf, 17th Annual Conference on Neural Information Processing Systems (NIPS 2003), MIT Press, Cambridge, MA, USA, 1367-1374.
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Technical reports (2): |
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BakIr G , Wu M and Eichhorn J : Maximum-Margin Feature Combination
for Detection and Categorization, Max Planck Institute for Biological Cybernetics, Tübingen, Germany, (2005).
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Eichhorn J and Chapelle O : Object categorization with SVM: kernels for local features, 137, Max Planck Institute for Biological Cybernetics, Tübingen, Germany, (2004).
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Theses (2): |
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Eichhorn J : Applications of Kernel Machines to Structured Data, Technische Universität Berlin, Berlin, Germany, (2007).
PhD thesis
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Eichhorn J : Variationsverfahren zur Untersuchung von
Grundzustandseigenschaften des Ein-Band Hubbard-Modells, Technische Universität Dresden, Dresden/Germany, (2001).
Diplom thesis
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Talks (1): |
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Eichhorn J (2004): Grundlagen von Support Vector Maschinen und Anwendungen in der Bildverarbeitung.
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jan.eichhorn
