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. Udgivet

    Label-Similarity Curriculum Learning

    Dogan, Ü., Deshmukh, A. A., Machura, M. B. & Igel, Christian, 2020, Computer Vision – ECCV 2020 - 16th European Conference, Proceedings. Vedaldi, A., Bischof, H., Brox, T. & Frahm, J-M. (red.). Springer VS, s. 174-190 17 s. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Bind 12374 LNCS).

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  2. Udgivet

    A note on extending generalization bounds for binary large-margin classifiers to multiple classes

    Dogan, Ü., Glasmachers, T. & Igel, Christian, 2012, Machine learning and knowledge discovery in databases: European Conference, ECML PKDD 2012, Bristol, UK, September 24-28, 2012. Proceedings, Part I. Flach, P. A., Bie, T. D. & Cristianini, N. (red.). Springer, s. 122-129 8 s. (Lecture notes in computer science, Bind 7523).

    Publikation: Bidrag til bog/antologi/rapportBidrag til bog/antologiForskningfagfællebedømt

  3. Udgivet

    A unified view on multi-class support vector classification

    Doğan, Ü., Glasmachers, T. & Igel, Christian, 2016, I: Journal of Machine Learning Research. 17, 32 s., 45.

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

  4. Application and optimization of neural field dynamics for driver assistance

    Edelbrunner, H., Handmann, U., Igel, Christian, Leefken, I. & von Seelen, W., 2001, Proceedings of the 2001 IEEE Intelligent Transportation Systems. IEEE, s. 309-314 6 s.

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  5. Bounding the bias of contrastive divergence used for maximum likelihood learning in restricted Boltzmann machines

    Fischer, A. & Igel, Christian, 2010. 1 s.

    Publikation: KonferencebidragKonferenceabstrakt til konferenceForskningfagfællebedømt

  6. 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 tidsskriftTidsskriftartikelForskningfagfællebedømt

  7. 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/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  8. Contrastive divergence learning may diverge when training restricted Boltzmann machines

    Fischer, A. & Igel, Christian, 2009, I: Frontiers in Computational Neuroscience.

    Publikation: Bidrag til tidsskriftKonferenceabstrakt i tidsskriftForskningfagfællebedømt

  9. Udgivet

    An introduction to restricted Boltzmann machines

    Fischer, A. & Igel, Christian, 2012, Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications: 17th Iberoamerican Congress, CIARP 2012, Buenos Aires, Argentina, September 3-6, 2012. Proceedings. Alvarez, L., Mejail, M., Gomez, L. & Jacobo, J. (red.). Springer, s. 14-36 23 s. (Lecture notes in computer science, Bind 7441).

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  10. Udgivet

    A bound for the convergence rate of parallel tempering for sampling restricted Boltzmann machines

    Fischer, A. & Igel, Christian, 2015, I: Theoretical Computer Science. 598, s. 102-117 16 s.

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

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