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Erik Rodner
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Publications
- 2017
- [j7]Erik Rodner, Alexander Freytag, Paul Bodesheim, Björn Fröhlich, Joachim Denzler:
Large-Scale Gaussian Process Inference with Generalized Histogram Intersection Kernels for Visual Recognition Tasks. Int. J. Comput. Vis. 121(2): 253-280 (2017) - 2016
- [i13]Erik Rodner, Björn Barz, Yanira Guanche, Milan Flach, Miguel D. Mahecha, Paul Bodesheim, Markus Reichstein, Joachim Denzler:
Maximally Divergent Intervals for Anomaly Detection. CoRR abs/1610.06761 (2016) - 2015
- [c34]Christoph Käding, Alexander Freytag, Erik Rodner, Paul Bodesheim, Joachim Denzler:
Active learning and discovery of object categories in the presence of unnameable instances. CVPR 2015: 4343-4352 - [c29]Paul Bodesheim, Alexander Freytag, Erik Rodner, Joachim Denzler:
Local Novelty Detection in Multi-class Recognition Problems. WACV 2015: 813-820 - 2014
- [i5]Alexander Freytag, Johannes Rühle, Paul Bodesheim, Erik Rodner, Joachim Denzler:
Seeing through bag-of-visual-word glasses: towards understanding quantization effects in feature extraction methods. CoRR abs/1408.4692 (2014) - 2013
- [c20]Paul Bodesheim, Alexander Freytag, Erik Rodner, Michael Kemmler, Joachim Denzler:
Kernel Null Space Methods for Novelty Detection. CVPR 2013: 3374-3381 - [c19]Alexander Freytag, Erik Rodner, Paul Bodesheim, Joachim Denzler:
Labeling Examples That Matter: Relevance-Based Active Learning with Gaussian Processes. GCPR 2013: 282-291 - [c18]Paul Bodesheim, Alexander Freytag, Erik Rodner, Joachim Denzler:
Approximations of Gaussian Process Uncertainties for Visual Recognition Problems. SCIA 2013: 182-194 - 2012
- [c15]Alexander Freytag, Erik Rodner, Paul Bodesheim, Joachim Denzler:
Rapid Uncertainty Computation with Gaussian Processes and Histogram Intersection Kernels. ACCV (2) 2012: 511-524 - [c14]Paul Bodesheim, Erik Rodner, Alexander Freytag, Joachim Denzler:
Divergence-Based One-Class Classification Using Gaussian Processes. BMVC 2012: 1-11 - [c12]Erik Rodner, Alexander Freytag, Paul Bodesheim, Joachim Denzler:
Large-Scale Gaussian Process Classification with Flexible Adaptive Histogram Kernels. ECCV (4) 2012: 85-98
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