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
- 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
- Udgivet
Turning binary large-margin bounds into multi-class bounds
Dogan, Ü., Glasmachers, T. & Igel, Christian, 2012. 2 s.Publikation: Konferencebidrag › Konferenceabstrakt til konference › Forskning › fagfællebedømt
- 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/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- 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/rapport › Bidrag til bog/antologi › Forskning › fagfællebedømt
- 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 tidsskrift › Tidsskriftartikel › fagfællebedømt
- E-pub ahead of print
Towards more comprehensive nationwide familial aggregation studies in Denmark: The Danish Civil Registration System versus the lite Danish Multi-Generation Register
Due, J. K., Pedersen, M. G., Antonsen, S., Rommedahl, J., Agerbo, E., Mortensen, P. B., Sørensen, H. T., Lotz, Jonas Færch, Cabello Piqueras, Laura, Fierro Mella, Constanza Catalina, Karamolegkou, Antonia, Igel, Christian, Rust, Phillip, Søgaard, Anders & Pedersen, C. B., 2024, (E-pub ahead of print) I: Scandinavian Journal of Public Health. s. 1-11Publikation: Bidrag til tidsskrift › Tidsskriftartikel › fagfællebedømt
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/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
Familiarity-Based Open-Set Recognition Under Adversarial Attacks
Enevoldsen∗, P., Gundersen, C., Lang, Nico, Belongie, Serge & Igel, Christian, 2023, arXiv.org, 5 s.Publikation: Working paper › Preprint › Forskning
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
- 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 › 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
- Udgivet
Training restricted Boltzmann machines: an introduction
Fischer, A. & Igel, Christian, 2014, I: Pattern Recognition. 47, 1, s. 25-39 15 s.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › fagfællebedømt
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 › 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
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
- 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/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- 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 tidsskrift › Tidsskriftartikel › fagfællebedømt
- Udgivet
Resilient Backpropagation (Rprop) for Batch-learning in TensorFlow
Florescu, C. & Igel, Christian, 2018. 5 s.Publikation: Konferencebidrag › Paper › 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
Evolutionary tuning of multiple SVM parameters
Friedrichs, F. & Igel, Christian, 2005, I: Neurocomputing. 64, s. 107-117 11 s.Publikation: Bidrag til tidsskrift › Konferenceartikel › fagfællebedømt
Evolutionary tuning of multiple SVM parameters
Friedrichs, F. & Igel, Christian, 2004, ESANN 2004: 12th European Symposium on Artificial Neural Networks. D-side Publications, s. 519-524 6 s.Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
Training big random forests with little resources
Gieseke, Fabian Cristian & Igel, Christian, 2018, KDD 2018 - Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. ACM Association for Computing Machinery, s. 1445-1454Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
Massively-parallel best subset selection for ordinary least-squares regression
Gieseke, F., Polsterer, K. L., Mahabal, A., Igel, Christian & Heskes, T., 2017, 2017 IEEE Symposium Series on Computational Intelligence (SSCI) Proceedings. IEEE, s. 1-8 8 s.Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
- Udgivet
Bigger buffer k-d trees on multi-many-core systems
Gieseke, Fabian Cristian, Oancea, Cosmin Eugen, Mahabal, A., Igel, Christian & Heskes, T., 2019, High Performance Computing for Computational Science – VECPAR 2018: 13th International Conference, São Pedro, Brazil, September 17–19, 2018, Revised Selected Papers. Springer, s. 202-214 (Lecture Notes in Computer Science, Bind 11333).Publikation: Bidrag til bog/antologi/rapport › Bidrag til bog/antologi › Forskning › fagfællebedømt
- Udgivet
Polynomial runtime bounds for fixed-rank unsupervised least-squares classification
Gieseke, Fabian Cristian, Pahikkala, T. & Igel, Christian, 2013, Asian Conference on Machine Learning. Ong, C. S. & Ho, T. B. (red.). Bind 29. s. 62-71 10 s. (JMLR: Workshop and Conference Proceedings, Bind 29).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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2314
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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
Udgivet