Adapting visual category models to new domains K Saenko, B Kulis, M Fritz, T Darrell Computer Vision–ECCV 2010: 11th European Conference on Computer Vision …, 2010 | 3336 | 2010 |
Information-theoretic metric learning JV Davis, B Kulis, P Jain, S Sra, IS Dhillon Proceedings of the 24th international conference on Machine learning, 209-216, 2007 | 2651 | 2007 |
Kernel k-means: spectral clustering and normalized cuts IS Dhillon, Y Guan, B Kulis Proceedings of the tenth ACM SIGKDD international conference on Knowledge …, 2004 | 1660 | 2004 |
Weighted graph cuts without eigenvectors a multilevel approach IS Dhillon, Y Guan, B Kulis IEEE transactions on pattern analysis and machine intelligence 29 (11), 1944 …, 2007 | 1308 | 2007 |
Metric learning: A survey B Kulis Foundations and Trends® in Machine Learning 5 (4), 287-364, 2013 | 1164 | 2013 |
Kernelized locality-sensitive hashing for scalable image search B Kulis, K Grauman 2009 IEEE 12th international conference on computer vision, 2130-2137, 2009 | 1125 | 2009 |
Learning to hash with binary reconstructive embeddings B Kulis, T Darrell Advances in neural information processing systems 22, 2009 | 1029 | 2009 |
What you saw is not what you get: Domain adaptation using asymmetric kernel transforms B Kulis, K Saenko, T Darrell CVPR 2011, 1785-1792, 2011 | 887 | 2011 |
Semi-supervised graph clustering: a kernel approach B Kulis, S Basu, I Dhillon, R Mooney Proceedings of the 22nd international conference on machine learning, 457-464, 2005 | 668 | 2005 |
Revisiting k-means: New algorithms via Bayesian nonparametrics B Kulis, MI Jordan arXiv preprint arXiv:1111.0352, 2011 | 471 | 2011 |
Tracking evolving communities in large linked networks J Hopcroft, O Khan, B Kulis, B Selman Proceedings of the National Academy of Sciences 101 (suppl_1), 5249-5253, 2004 | 463 | 2004 |
Kernelized locality-sensitive hashing B Kulis, K Grauman IEEE Transactions on Pattern Analysis and Machine Intelligence 34 (6), 1092-1104, 2011 | 419 | 2011 |
Fast image search for learned metrics P Jain, B Kulis, K Grauman 2008 IEEE Conference on computer vision and pattern recognition, 1-8, 2008 | 355 | 2008 |
Fast similarity search for learned metrics B Kulis, P Jain, K Grauman IEEE Transactions on Pattern Analysis and Machine Intelligence 31 (12), 2143 …, 2009 | 320 | 2009 |
Deep metric learning to rank F Cakir, K He, X Xia, B Kulis, S Sclaroff Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 319 | 2019 |
W-net: A deep model for fully unsupervised image segmentation X Xia, B Kulis arXiv preprint arXiv:1711.08506, 2017 | 310 | 2017 |
Low-Rank Kernel Learning with Bregman Matrix Divergences. B Kulis, MA Sustik, IS Dhillon Journal of Machine Learning Research 10 (2), 2009 | 309 | 2009 |
A unified view of kernel k-means, spectral clustering and graph cuts IS Dhillon, Y Guan, B Kulis Computer Science Department, University of Texas at Austin, 2004 | 287 | 2004 |
Online metric learning and fast similarity search P Jain, B Kulis, I Dhillon, K Grauman Advances in neural information processing systems 21, 2008 | 262 | 2008 |
Learning low-rank kernel matrices B Kulis, M Sustik, I Dhillon Proceedings of the 23rd international conference on Machine learning, 505-512, 2006 | 241 | 2006 |