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
- 2018
- Published
Sparse incomplete LU-decomposition for wave farm designs under realistic conditions
Arbonès, D. R., Sergiienko, N. Y., Ding, B., Krause, Oswin, Igel, Christian & Wagner, M., 1 Jan 2018, Parallel Problem Solving from Nature – PPSN XV: 15th International Conference, 2018, Proceedings. Springer, p. 512-524 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 11101 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
Knee Segmentation by Multiplanar Deep Learning Network – with data from OAI
Perslev, Mathias, Pai, A. S. U., Igel, Christian & Dam, Erik Bjørnager, 2018. 1 p.Research output: Contribution to conference › Conference abstract for conference › Research › peer-review
- Published
Population-Contrastive-Divergence: Does consistency help with RBM training?
Krause, Oswin, Fischer, A. & Igel, Christian, 2018, In: Pattern Recognition Letters. 102, p. 1-7Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Resilient Backpropagation (Rprop) for Batch-learning in TensorFlow
Florescu, C. & Igel, Christian, 2018. 5 p.Research output: Contribution to conference › Paper › Research › peer-review
- Published
Robust Active Label Correction
Kremer, J., Sha, F. & Igel, Christian, 2018, Proceedings of the Twenty-First International Conference on Artificial Intelligence and Statistics. PMLR, Vol. 84. p. 308-316 9 p. (Proceedings of Machine Learning Research). (Proceedings of Machine Learning Research, Vol. 84).Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
- Published
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, p. 1445-1454Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
ID: 22657401
Most downloads
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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
Published