Brian Kulis
Brian Kulis
Associate Professor at Boston University & Amazon Scholar
Verified email at - Homepage
Cited by
Cited by
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
Adapting visual category models to new domains
K Saenko, B Kulis, M Fritz, T Darrell
European conference on computer vision, 213-226, 2010
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
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
Kernelized locality-sensitive hashing for scalable image search
B Kulis, K Grauman
2009 IEEE 12th international conference on computer vision, 2130-2137, 2009
Learning to Hash with Binary Reconstructive Embeddings.
B Kulis, T Darrell
NIPS 22, 1042-1050, 2009
Metric learning: A survey
B Kulis
Foundations and TrendsŪ in Machine Learning 5 (4), 287-364, 2013
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
Semi-supervised graph clustering: a kernel approach
B Kulis, S Basu, I Dhillon, R Mooney
Machine learning 74 (1), 1-22, 2009
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
Kernelized locality-sensitive hashing
B Kulis, K Grauman
IEEE Transactions on Pattern Analysis and Machine Intelligence 34 (6), 1092-1104, 2011
Revisiting k-means: New algorithms via Bayesian nonparametrics
B Kulis, MI Jordan
arXiv preprint arXiv:1111.0352, 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
Fast similarity search for learned metrics
B Kulis, P Jain, K Grauman
IEEE Transactions on Pattern Analysis and Machine Intelligence 31 (12), 2143 …, 2009
Low-Rank Kernel Learning with Bregman Matrix Divergences.
B Kulis, MA Sustik, IS Dhillon
Journal of Machine Learning Research 10 (2), 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
Online Metric Learning and Fast Similarity Search.
P Jain, B Kulis, IS Dhillon, K Grauman
NIPS 8, 761-768, 2008
Learning low-rank kernel matrices
B Kulis, M Sustik, I Dhillon
Proceedings of the 23rd international conference on Machine learning, 505-512, 2006
Metric and kernel learning using a linear transformation
P Jain, B Kulis, JV Davis, IS Dhillon
The Journal of Machine Learning Research 13 (1), 519-547, 2012
Discovering latent domains for multisource domain adaptation
J Hoffman, B Kulis, T Darrell, K Saenko
European Conference on Computer Vision, 702-715, 2012
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