Christian Igel
Professor
Introductory remarks on publicationslist
This list of pubications is not fully complete.
For a complete list of older publications as well as papers and software available online please vist my old homepage: https://christian-igel.github.io
I also maintain a Google Scholar profile: https://scholar.google.dk/citations?user=d-jF4zIAAAAJ
- 2010
A dynamic neural field model of mesoscopic cortical activity captured with voltage-sensitive dye imaging
Markounikau, V., Igel, Christian, Grinvald, A. & Jancke, D., 2010, In: P L o S Computational Biology. 6, 9, 14 p., e1000919.Research output: Contribution to journal › Journal article › Research › peer-review
Automatic classification of hydroacoustic signals to support verification of the Comprehensive Nuclear-Test-Ban Treaty
Tuma, M. & Igel, Christian, 2010, Second Joint Statistical Meeting Deutsche Arbeitsgemeinschaft Statistik "Statistics Under One Umbrella" (DAGStat 2010). p. 361 1 p.Research output: Chapter in Book/Report/Conference proceeding › Conference abstract in proceedings › Research › peer-review
Bounding the bias of contrastive divergence used for maximum likelihood learning in restricted Boltzmann machines
Fischer, A. & Igel, Christian, 2010. 1 p.Research output: Contribution to conference › Conference abstract for conference › Research › peer-review
Challenges in training restricted Boltzmann machines
Fischer, A. & Igel, Christian, 2010, Workshop New Challenges in Neural Computation 2010. Hammer, B. & Villmann, T. (eds.). p. 11-24 14 p. (Machine Learning Reports; No. 04/2010).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Direct policy search: intrinsic vs. extrinsic perturbations
Heidrich-Meisner, V. & Igel, Christian, 2010, Workshop New Challenges in Neural Computation . Hammer, B. & Villmann, T. (eds.). p. 33-39 7 p. (Machine Learning Reports, Vol. 04/2010).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Editorial: special issue on organic computing
Würtz, R. P., Bellman, K. L., Schmeck, H. & Igel, Christian, 2010, In: A C M Transactions on Autonomous and Adaptive Systems. 5, 3, p. 1-3 3 p.Research output: Contribution to journal › Editorial › Research
Efficient update of the covariance matrix inverse in iterated linear discriminant analysis
Salmen, J., Schlipsing, M. & Igel, Christian, 2010, In: Pattern Recognition Letters. 31, 1, p. 1903 5 p.Research output: Contribution to journal › Journal article › Research › peer-review
Empirical analysis of the divergence of Gibbs sampling based learning algorithms for restricted Boltzmann machines
Fischer, A. & Igel, Christian, 2010, Artificial Neural Networks – ICANN 201: 20th International Conference, Thessaloniki, Greece, September 15-18, 2010, Proceedings, Part III. Diamantaras, K., Duch, W. & Iliadis, L. S. (eds.). Springer, p. 208-217 10 p. (Lecture notes in computer science, Vol. 6354).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
Evolutionary kernel learning
Igel, Christian, 2010, Encyclopedia of machine learning. Sammut, C. & Webb, G. I. (eds.). Springer, 4 p.Research output: Chapter in Book/Report/Conference proceeding › Encyclopedia chapter › Research › peer-review
Hydroacoustic signal classification using kernel functions for variable feature sets
Tuma, M., Igel, Christian & Prior, M., 2010, Proceedings of the 2010 20th International Conference on Pattern Recognition: ICPR. IEEE Computer Society Press, p. 1011-1014 4 p.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
ID: 22657401
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4538
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Shape index descriptors applied to texture-based galaxy analysis
Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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2314
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Buffer k-d trees: processing massive nearest neighbor queries on GPUs
Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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1307
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Fast training of multi-class support vector machines
Research output: Book/Report › Report › Research
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