Ansatte – Københavns Universitet

Christian Igel

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


  1. 2011
  2. Udgivet

    Towards exaggerated image stereotypes. / Chen, Chen; Lauze, Francois Bernard; Igel, Christian; Feragen, Aasa; Loog, Marco; Nielsen, Mads.

    Proceedings of The First Asian Conference on Pattern Recognition 2011, . 2011. s. 422-426.

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  3. Udgivet

    Training RBMs based on the signs of the CD approximation of the log-likelihood derivatives. / Fischer, Asja; Igel, Christian.

    19th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2011). red. / M. Verleysen. ESANN , 2011. s. 495-500.

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  4. 2010
  5. A dynamic neural field model of mesoscopic cortical activity captured with voltage-sensitive dye imaging. / Markounikau, Valentin; Igel, Christian; Grinvald, Amiram; Jancke, Dirk.

    I: P L o S Computational Biology, Bind 6, Nr. 9, e1000919, 2010.

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

  6. Automatic classification of hydroacoustic signals to support verification of the Comprehensive Nuclear-Test-Ban Treaty. / Tuma, M.; Igel, Christian.

    Second Joint Statistical Meeting Deutsche Arbeitsgemeinschaft Statistik "Statistics Under One Umbrella" (DAGStat 2010). 2010. s. 361.

    Publikation: Bidrag til bog/antologi/rapportKonferenceabstrakt i proceedingsForskningfagfællebedømt

  7. Bounding the bias of contrastive divergence used for maximum likelihood learning in restricted Boltzmann machines. / Fischer, A.; Igel, Christian.

    2010. Abstract fra Dagstat 2010, Dortmund, Tyskland.

    Publikation: KonferencebidragKonferenceabstrakt til konferenceForskningfagfællebedømt

  8. Challenges in training restricted Boltzmann machines. / Fischer, Asja; Igel, Christian.

    Workshop New Challenges in Neural Computation 2010. red. / B. Hammer; T. Villmann. 2010. s. 11-24.

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  9. Direct policy search : intrinsic vs. extrinsic perturbations. / Heidrich-Meisner, V.; Igel, Christian.

    Workshop New Challenges in Neural Computation . red. / B. Hammer; T. Villmann. 2010. s. 33-39.

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  10. Editorial : special issue on organic computing. / Würtz, R. P.; Bellman, K. L.; Schmeck, H.; Igel, Christian.

    I: A C M Transactions on Autonomous and Adaptive Systems, Bind 5, Nr. 3, 2010, s. 1-3.

    Publikation: Bidrag til tidsskriftLederForskning

  11. Efficient update of the covariance matrix inverse in iterated linear discriminant analysis. / Salmen, Jan; Schlipsing, Marc; Igel, Christian.

    I: Pattern Recognition Letters, Bind 31, Nr. 1, 2010, s. 1903.

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

  12. Empirical analysis of the divergence of Gibbs sampling based learning algorithms for restricted Boltzmann machines. / Fischer, Asja; Igel, Christian.

    Artificial Neural Networks – ICANN 201: 20th International Conference, Thessaloniki, Greece, September 15-18, 2010, Proceedings, Part III. red. / K. Diamantaras; W. Duch; L. S. Iliadis. Springer, 2010. s. 208-217.

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  13. Evolutionary kernel learning. / Igel, Christian.

    Encyclopedia of machine learning. red. / Claude Sammut; Georffrey I. Webb. Springer, 2010.

    Publikation: Bidrag til bog/antologi/rapportEncyclopædiartikelForskningfagfællebedømt

  14. Hydroacoustic signal classification using kernel functions for variable feature sets. / Tuma, M.; Igel, Christian; Prior, M.

    Proceedings of the 2010 20th International Conference on Pattern Recognition: ICPR. IEEE Computer Society Press, 2010. s. 1011-1014.

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  15. Improved step size adaptation for the MO-CMA-ES. / Voß, T.; Hansen, N.; Igel, Christian.

    Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2010). Association for Computing Machinery, 2010. s. 487-494.

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  16. Maximum likelihood model selection for 1-norm soft margin SVMs with multiple parameters. / Glasmachers, T.; Igel, Christian.

    I: IEEE Transactions on Pattern Analysis and Machine Intelligence, Bind 32, Nr. 8, 2010, s. 1522-1528.

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

  17. Neuroevolution strategies. / Igel, Christian.

    Learning paradigms in dynamic environments. red. / B. Hammer; P. Hitzler; W. Maass; M. Toussaint. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2010. s. 6.

    Publikation: Bidrag til bog/antologi/rapportKonferenceabstrakt i proceedingsForskning

  18. New uncertainty handling strategies in multi-objective evolutionary optimization. / Voß, T.; Trautmann, H.; Igel, Christian.

    Parallel Problem Solving from Nature, PPSN XI: 11th International Conference, Kraków, Poland, September 11-15, 2010. Proceedings, Part II. red. / R. Schaefer; C. Cotta; J. Kołodziej; G. Rudolph. Springer, 2010. s. 260-269.

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  19. Scaling up indicator-based MOEAs by approximating the least hypervolume contributor : a preliminary study. / Voß, T.; Friedrich, T.; Bringmann, K.; Igel, Christian.

    Proceedings of the 12th annual conference on Genetic and Evolutionary Computation: GECCO '10. Association for Computing Machinery, 2010. s. 1975-1978.

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  20. Second-order SMO for SVM online learning. / Igel, Christian.

    Learning paradigms in dynamic environments. red. / B. Hammer; P. Hitzler; W. Maass; M. Toussaint. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2010. s. 5-6.

    Publikation: Bidrag til bog/antologi/rapportKonferenceabstrakt i proceedingsForskning

  21. Structure optimization of reservoir networks. / Roeschies, Benjamin; Igel, Christian.

    I: Logic Journal of the IGPL, Bind 18, Nr. 5, 2010, s. 635-669.

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

  22. 2009
  23. A mesoscopic model of VSD dynamics observed in visual cortex induced by flashed and moving stimuli. / Markounikau, Valentin; Igel, Christian; Jancke, Dirk.

    I: Frontiers in Computational Neuroscience, 2009.

    Publikation: Bidrag til tidsskriftKonferenceabstrakt i tidsskriftForskningfagfællebedømt

  24. Contrastive divergence learning may diverge when training restricted Boltzmann machines. / Fischer, Asja; Igel, Christian.

    I: Frontiers in Computational Neuroscience, 2009.

    Publikation: Bidrag til tidsskriftKonferenceabstrakt i tidsskriftForskningfagfællebedømt

  25. Efficient covariance matrix update for variable metric evolution strategies. / Suttorp, Thorsten; Hansen, Nikolaus; Igel, Christian.

    I: Machine Learning, Bind 75, Nr. 2, 2009, s. 167-197.

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

  26. Hoeffding and Bernstein races for selecting policies in evolutionary direct policy search. / Heidrich-Meisner, V.; Igel, Christian.

    Proceedings of the 26th International Conference on Machine Learning (ICML 2009). Association for Computing Machinery, 2009. s. 401-408.

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  27. Kernel-based machine learning techniques for hydroacoustic signal classification. / Tuma, Matthias; Igel, Christian.

    International Scientific Studies Conference (ISS09): book of abstracts. 2009. s. 25 DM-06/A.

    Publikation: Bidrag til bog/antologi/rapportKonferenceabstrakt i proceedingsForskning

  28. Neuroevolution strategies for episodic reinforcement learning. / Heidrich-Meisner, Verena; Igel, Christian.

    I: Journal of Algorithms, Bind 64, Nr. 4, 2009, s. 152-168.

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

ID: 22657401