Christian Igel
Professor
Kommentarer til publikationsliste
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: http://image.diku.dk/igel
I also maintain a Google Scholar profile: https://scholar.google.dk/citations?user=d-jF4zIAAAAJ
- 2011
- Udgivet
Fast training of multi-class support vector machines
Dogan, Ü., Glasmachers, T. & Igel, Christian, 2011, University of Copenhagen. 19 s. (Koebenhavns Universitet. Datalogisk Institut. Rapport; Nr. 03, Bind 2011).Publikation: Bog/antologi/afhandling/rapport › Rapport › Forskning
- Udgivet
Bounding the bias of contrastive divergence learning
Fischer, A. & Igel, Christian, 2011, I: Neural Computation. 23, 3, s. 664-673 10 s.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
- Udgivet
Training RBMs based on the signs of the CD approximation of the log-likelihood derivatives
Fischer, A. & Igel, Christian, 2011, 19th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2011). Verleysen, M. (red.). ESANN , s. 495-500 6 s.Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
The logarithmic hypervolume indicator
Friedrich, T., Bringmann, K., Voß, T. & Igel, Christian, 2011, Proceedings of the 11th Workshop on Foundations of genetic algorithms : FOGA '11. Beyer, H-G. & Langdon, W. B. (red.). Association for Computing Machinery, s. 81-91 11 s.Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
Non-linearly increasing resampling in racing algorithms
Heidrich-Meisner, V. & Igel, Christian, 2011, 19th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2011). Verleysen, M. (red.). s. 465-470 6 s.Publikation: Bidrag til bog/antologi/rapport › Konferenceabstrakt i proceedings › Forskning › fagfællebedømt
- Udgivet
Real-time estimation of optical flow based on optimized haar wavelet features
Salmen, J., Caup, L. & Igel, Christian, 2011, Evolutionary Multi-Criterion Optimization: 6th International Conference, EMO 2011, Ouro Preto, Brazil, April 5-8, 2011. Proceedings. Takahashi, R. H. C., Deb, K., Wanner, E. F. & Greco, S. (red.). Springer, s. 448-461 14 s. (Lecture notes in computer science, Bind 6576).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
The German traffic sign recognition benchmark: a multi-class classification competition
Stallkamp, J., Schlipsing, M., Salmen, J. & Igel, Christian, 2011, Proceedings of the 2011 International Joint Conference on Neural Networks (IJCNN). IEEE, s. 1453-1460 8 s.Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
Improved working set selection for LaRank
Tuma, M. & Igel, Christian, 2011, Computer Analysis of Images and Patterns: 14th International Conference, CAIP 2011 Seville, Spain, August 29-31, 2011 Proceedings, Part I. Real, P., Diaz-Pernil, D., Molina-Abril, H., Berciano, A. & Kropatsch, W. (red.). Springer, s. 327-334 8 s. (Lecture notes in computer science, Bind 6854).Publikation: Bidrag til bog/antologi/rapport › Bidrag til bog/antologi › Forskning › fagfællebedømt
- 2010
Bounding the bias of contrastive divergence used for maximum likelihood learning in restricted Boltzmann machines
Fischer, A. & Igel, Christian, 2010. 1 s.Publikation: Konferencebidrag › Konferenceabstrakt til konference › Forskning › fagfællebedømt
Challenges in training restricted Boltzmann machines
Fischer, A. & Igel, Christian, 2010, Workshop New Challenges in Neural Computation 2010. Hammer, B. & Villmann, T. (red.). s. 11-24 14 s. (Machine Learning Reports; Nr. 04/2010).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
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. (red.). Springer, s. 208-217 10 s. (Lecture notes in computer science, Bind 6354).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
Maximum likelihood model selection for 1-norm soft margin SVMs with multiple parameters
Glasmachers, T. & Igel, Christian, 2010, I: IEEE Transactions on Pattern Analysis and Machine Intelligence. 32, 8, s. 1522-1528 7 s.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
Direct policy search: intrinsic vs. extrinsic perturbations
Heidrich-Meisner, V. & Igel, Christian, 2010, Workshop New Challenges in Neural Computation . Hammer, B. & Villmann, T. (red.). s. 33-39 7 s. (Machine Learning Reports, Bind 04/2010).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
Evolutionary kernel learning
Igel, Christian, 2010, Encyclopedia of machine learning. Sammut, C. & Webb, G. I. (red.). Springer, 4 s.Publikation: Bidrag til bog/antologi/rapport › Encyclopædiartikel › Forskning › fagfællebedømt
Neuroevolution strategies
Igel, Christian, 2010, Learning paradigms in dynamic environments. Hammer, B., Hitzler, P., Maass, W. & Toussaint, M. (red.). Schloss Dagstuhl - Leibniz-Zentrum für Informatik, s. 6 1 s. (Dagstuhl Seminar Proceedings, Bind 10302).Publikation: Bidrag til bog/antologi/rapport › Konferenceabstrakt i proceedings › Forskning
Second-order SMO for SVM online learning
Igel, Christian, 2010, Learning paradigms in dynamic environments. Hammer, B., Hitzler, P., Maass, W. & Toussaint, M. (red.). Schloss Dagstuhl - Leibniz-Zentrum für Informatik, s. 5-6 2 s. (Dagstuhl Seminar Proceedings, Bind 10302).Publikation: Bidrag til bog/antologi/rapport › Konferenceabstrakt i proceedings › Forskning
A dynamic neural field model of mesoscopic cortical activity captured with voltage-sensitive dye imaging
Markounikau, V., Igel, Christian, Grinvald, A. & Jancke, D., 2010, I: P L o S Computational Biology. 6, 9, 14 s., e1000919.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
Structure optimization of reservoir networks
Roeschies, B. & Igel, Christian, 2010, I: Logic Journal of the IGPL. 18, 5, s. 635-669 35 s.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
Efficient update of the covariance matrix inverse in iterated linear discriminant analysis
Salmen, J., Schlipsing, M. & Igel, Christian, 2010, I: Pattern Recognition Letters. 31, 1, s. 1903 5 s.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
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). s. 361 1 s.Publikation: Bidrag til bog/antologi/rapport › Konferenceabstrakt i proceedings › Forskning › fagfællebedømt
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, s. 1011-1014 4 s.Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
Improved step size adaptation for the MO-CMA-ES
Voß, T., Hansen, N. & Igel, Christian, 2010, Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2010). Association for Computing Machinery, s. 487-494 8 s.Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
New uncertainty handling strategies in multi-objective evolutionary optimization
Voß, T., Trautmann, H. & Igel, Christian, 2010, Parallel Problem Solving from Nature, PPSN XI: 11th International Conference, Kraków, Poland, September 11-15, 2010. Proceedings, Part II. Schaefer, R., Cotta, C., Kołodziej, J. & Rudolph, G. (red.). Springer, s. 260-269 10 s. (Lecture notes in computer science, Bind 6239).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
Scaling up indicator-based MOEAs by approximating the least hypervolume contributor: a preliminary study
Voß, T., Friedrich, T., Bringmann, K. & Igel, Christian, 2010, Proceedings of the 12th annual conference on Genetic and Evolutionary Computation: GECCO '10. Association for Computing Machinery, s. 1975-1978 4 s.Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
Editorial: special issue on organic computing
Würtz, R. P., Bellman, K. L., Schmeck, H. & Igel, Christian, 2010, I: A C M Transactions on Autonomous and Adaptive Systems. 5, 3, s. 1-3 3 s.Publikation: Bidrag til tidsskrift › Leder › Forskning
- 2009
Contrastive divergence learning may diverge when training restricted Boltzmann machines
Fischer, A. & Igel, Christian, 2009, I: Frontiers in Computational Neuroscience.Publikation: Bidrag til tidsskrift › Konferenceabstrakt i tidsskrift › Forskning › fagfællebedømt
Hoeffding and Bernstein races for selecting policies in evolutionary direct policy search
Heidrich-Meisner, V. & Igel, Christian, 2009, Proceedings of the 26th International Conference on Machine Learning (ICML 2009). Association for Computing Machinery, s. 401-408 8 s.Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
Neuroevolution strategies for episodic reinforcement learning
Heidrich-Meisner, V. & Igel, Christian, 2009, I: Journal of Algorithms. 64, 4, s. 152-168 17 s.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
Uncertainty handling CMA-ES for reinforcement learning
Heidrich-Meisner, V. & Igel, Christian, 2009, Proceedings of the 11th Annual conference on Genetic and evolutionary computation: GECCO '09. Association for Computing Machinery, s. 1211-1218 8 s.Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
Variable-metric evolution strategies for direct policy search
Heidrich-Meisner, V. & Igel, Christian, 2009. 2 s.Publikation: Konferencebidrag › Konferenceabstrakt til konference › Forskning › fagfællebedømt
Second-order SMO for SVM online and active learning
Igel, Christian, 2009, 23rd European Conference on Operational Research: book of abstracts. s. 162 1 s. TD-31Publikation: Bidrag til bog/antologi/rapport › Konferenceabstrakt i proceedings › Forskning
Service: reinforcement learning
Igel, Christian, 2009, I: KI - Künstliche Intelligenz. 24, 3, s. 44 ppPublikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
A mesoscopic model of VSD dynamics observed in visual cortex induced by flashed and moving stimuli
Markounikau, V., Igel, Christian & Jancke, D., 2009, I: Frontiers in Computational Neuroscience.Publikation: Bidrag til tidsskrift › Konferenceabstrakt i tidsskrift › Forskning › fagfællebedømt
Efficient covariance matrix update for variable metric evolution strategies
Suttorp, T., Hansen, N. & Igel, Christian, 2009, I: Machine Learning. 75, 2, s. 167-197 31 s.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
Ontogenetic and phylogenetic reinforcement learning
Togelius, J., Schaul, T., Wierstra, D., Igel, Christian, Gomez, F. & Schmidhuber, J., 2009, I: KI - Künstliche Intelligenz. 09, 3, s. 30-33 4 s.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
Kernel-based machine learning techniques for hydroacoustic signal classification
Tuma, M. & Igel, Christian, 2009, International Scientific Studies Conference (ISS09): book of abstracts. s. 25 1 s. DM-06/APublikation: Bidrag til bog/antologi/rapport › Konferenceabstrakt i proceedings › Forskning
Recombination for learning strategy parameters in the MO-CMA-ES
Voß, T., Hansen, N. & Igel, Christian, 2009, Evolutionary Multi-Criterion Optimization: 5th International Conference, EMO 2009, Nantes, France, April 7-10, 2009. Proceedings. Ehrgott, M., Fonseca, C. M., Gandibleux, X., Hao, J-K. & Sevaux, M. (red.). Springer, s. 155-168 14 s. (Lecture notes in computer science, Bind 5467).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
Toward registration of 3D ultrasound and CT images of the spine in clinical praxis: design and evaluation of a data acquisition protocol
Winter, S., Pechlivanis, I., Dekomien, C., Igel, Christian & Schmieder, K., 2009, I: Ultrasound in Medicine & Biology. 35, 11, s. 1773-1782 10 s.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
- 2008
Second-order SMO improves SVM online and active learning
Glasmachers, T. & Igel, Christian, 2008, I: Neural Computation. 20, 2, s. 374-382 9 s.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
Uncertainty handling in model selection for support vector machines
Glasmachers, T. & Igel, Christian, 2008, Parallel Problem Solving from Nature – PPSN X: 10th International Conference, Dortmund, Germany, September 13-17, 2008. Proceedings. Rudolph, G., Jansen, T., Beume, N., Lucas, S. & Poloni, C. (red.). Springer, s. 185-194 10 s. (Lecture notes in computer science, Bind 5199).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
Evolution strategies for direct policy search
Heidrich-Meisner, V. & Igel, Christian, 2008, Parallel Problem Solving from Nature – PPSN X: 10th International Conference, Dortmund, Germany, September 13-17, 2008. Proceedings. Rudolph, G., Jansen, T., Beume, N., Lucas, S. & Poloni, C. (red.). Springer, s. 428-437 10 s. (Lecture notes in computer science, Bind 5199).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
Learning behavioral policies using extrinsic perturbations on the level of synapses
Heidrich-Meisner, V. & Igel, Christian, 2008, I: Frontiers in Computational Neuroscience.Publikation: Bidrag til tidsskrift › Konferenceabstrakt i tidsskrift › Forskning › fagfællebedømt
Similarities and differences between policy gradient methods and evolution strategies
Heidrich-Meisner, V. & Igel, Christian, 2008, ESANN 2008: 16th European Symposium on Artificial Neural Networks. D-side Publications, s. 149-154 6 s. ES2008-47Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
Uncertainty handling in evolutionary direct policy search
Heidrich-Meisner, V. & Igel, Christian, 2008. 8 s.Publikation: Konferencebidrag › Paper › Forskning › fagfællebedømt
Variable metric reinforcement learning methods applied to the noisy mountain car problem
Heidrich-Meisner, V. & Igel, Christian, 2008, Recent Advances in Reinforcement Learning: 8th European Workshop, EWRL 2008, Villeneuve d’Ascq, France, June 30-July 3, 2008, Revised and Selected Papers. Girgin, S., Loth, M., Munos, R., Preux, P. & Ryabko, D. (red.). Springer, s. 136-150 15 s. (Lecture notes in computer science, Bind 5323).Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
Efficient covariance matrix update for evolution strategies
Igel, Christian, 2008, Theory of Evolutionary Algorithms. Arnold, D. V., Auger, A., Rowe, J. E. & Witt, C. (red.). Schloss Dagstuhl - Leibniz-Zentrum für Informatik, s. 6 1 s. (Dagstuhl Seminar Proceedings, Bind 08051).Publikation: Bidrag til bog/antologi/rapport › Konferenceabstrakt i proceedings › Forskning
Genesis of organic computing systems: coupling evolution and learning
Igel, Christian & Sendhoff, B., 2008, Organic computing. s. 141-166 26 s. (Understanding Complex Systems).Publikation: Bidrag til bog/antologi/rapport › Bidrag til bog/antologi › Forskning › fagfællebedømt
Shark
Igel, Christian, Glasmachers, T. & Heidrich-Meisner, V., 2008, I: Journal of Machine Learning Research. 9, s. 993-996 4 s.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
Approximation of Gaussian process regression models after training
Suttorp, T. & Igel, Christian, 2008, ESANN 2008: 16th European Symposium on Artificial Neural Networks. D-side Publications, s. 427-432 6 s. ES2008-84Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
Scalarization versus indicator-based selection in multi-objective CMA evolution strategies
Voß, T., Beume, N., Rudolph, G. & Igel, Christian, 2008, IEEE Congress on Evolutionary Computation, 2008 CEC 2008.. IEEE, s. 3036-3043 8 s.Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
ID: 22657401
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Shape index descriptors applied to texture-based galaxy analysis
Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
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Buffer k-d trees: processing massive nearest neighbor queries on GPUs
Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
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Fast training of multi-class support vector machines
Publikation: Bog/antologi/afhandling/rapport › Rapport › Forskning
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