Maksim Lapin
Maksim Lapin
Computer Vision Scientist, Amazon Berlin
Verified email at amazon.com
TitleCited byYear
Learning using privileged information: SVM+ and weighted SVM
M Lapin, M Hein, B Schiele
Neural Networks 53, 95-108, 2014
902014
Scalable Multitask Representation Learning for Scene Classification
M Lapin, B Schiele, M Hein
IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2014), 2014
472014
Top-k Multiclass SVM
M Lapin, M Hein, B Schiele
Advances in Neural Information Processing Systems (NIPS 2015), 325-333, 2015
362015
Loss Functions for Top-k Error: Analysis and Insights
M Lapin, M Hein, B Schiele
IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2016), 2016
322016
Analysis and optimization of loss functions for multiclass, top-k, and multilabel classification
M Lapin, M Hein, B Schiele
IEEE transactions on pattern analysis and machine intelligence 40 (7), 1533-1554, 2017
292017
Efficient Output Kernel Learning for Multiple Tasks
P Jawanpuria, M Lapin, M Hein, B Schiele
Advances in Neural Information Processing Systems (NIPS 2015), 1189-1197, 2015
212015
SHAVE: stochastic hybrid analysis of markov population models
M Lapin, L Mikeev, V Wolf
Proceedings of the 14th international conference on Hybrid systems …, 2011
192011
Image classification with limited training data and class ambiguity
M Lapin
2017
Simplex Coding and Supervised Dictionary Learning
M Lapin
Saarland University, 2012
2012
Scalable Multitask Representation Learning for Scene Classification Supplementary Material
M Lapin, B Schiele, M Hein
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Articles 1–10