Brian Kulis

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Citazioni	14220	7732
Indice H	34	31
i10-index	39	37

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Inderjit S. DhillonVice President/Distinguished Scientist at Amazon, and Professor, Computer Science, UT AustinEmail verificata su cs.utexas.edu
Prateek JainMicrosoft Research IndiaEmail verificata su microsoft.com
Trevor DarrellProfessor of Computer Science, U.C. BerkeleyEmail verificata su eecs.berkeley.edu
Kate SaenkoBoston University & MIT-IBM Watson AI LabEmail verificata su bu.edu
Yuqiang GuanWaymoEmail verificata su google.com
Suvrit SraMITEmail verificata su mit.edu
Kristen GraumanProfessor of Computer Science, University of Texas at AustinEmail verificata su cs.utexas.edu
Mario FritzFaculty CISPA Helmholtz Center for Information Security; Professor, Saarland UniversityEmail verificata su cispa.saarland
Bart SelmanProfessor of Computer Science, Cornell UniversityEmail verificata su cs.cornell.edu
Michael I. JordanProfessor of Electrical Engineering and Computer Sciences and Professor of Statistics, UC BerkeleyEmail verificata su cs.berkeley.edu
Xide XiaFacebook AIEmail verificata su bu.edu
Judy HoffmanAssistant Professor, Georgia TechEmail verificata su gatech.edu
Matyas A SustikUniversity of Texas at AustinEmail verificata su cs.utexas.edu
Raymond MooneyProfessor of Computer Science, University of Texas at AustinEmail verificata su cs.utexas.edu
Sugato BasuPrincipal Scientist at GoogleEmail verificata su google.com
Ali SiahkamariPhD Candidate, Boston UniversityEmail verificata su bu.edu
Rachel ManzelliBoston UniversityEmail verificata su bu.edu
Jonathan P. HowRichard C. Maclaurin Professor of Aerospace Engineering, Massachusetts Institute of TechnologyEmail verificata su mit.edu
Trevor CampbellAssistant Professor, Statistics, UBCEmail verificata su stat.ubc.ca
Qichao QueFacebookEmail verificata su fb.com

Brian Kulis

Associate Professor, Boston University

Email verificata su bu.edu - Home page

Machine Learning Artificial Intelligence Computer Vision


Titolo Ordina per citazioni Ordina per anno Ordina per titolo	Citata da Citata da	Anno
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	2237	2007
Adapting visual category models to new domains K Saenko, B Kulis, M Fritz, T Darrell European conference on computer vision, 213-226, 2010	1636	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	1287	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	968	2007
Kernelized locality-sensitive hashing for scalable image search B Kulis, K Grauman 2009 IEEE 12th international conference on computer vision, 2130-2137, 2009	937	2009
Learning to hash with binary reconstructive embeddings B Kulis, T Darrell Advances in neural information processing systems 22, 1042-1050, 2009	835	2009
Metric learning: A survey B Kulis Foundations and trends in machine learning 5 (4), 287-364, 2012	715	2012
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	697	2011
Semi-supervised graph clustering: a kernel approach B Kulis, S Basu, I Dhillon, R Mooney Machine learning 74 (1), 1-22, 2009	588	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	388	2004
Kernelized locality-sensitive hashing B Kulis, K Grauman IEEE Transactions on Pattern Analysis and Machine Intelligence 34 (6), 1092-1104, 2011	359	2011
Revisiting k-means: New algorithms via Bayesian nonparametrics B Kulis, MI Jordan arXiv preprint arXiv:1111.0352, 2011	353	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	326	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	292	2009
Low-Rank Kernel Learning with Bregman Matrix Divergences. B Kulis, MA Sustik, IS Dhillon Journal of Machine Learning Research 10 (2), 2009	242	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	238	2004
Online metric learning and fast similarity search P Jain, B Kulis, I Dhillon, K Grauman Advances in neural information processing systems 21, 761-768, 2008	229	2008
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	198	2012
Learning low-rank kernel matrices B Kulis, M Sustik, I Dhillon Proceedings of the 23rd international conference on Machine learning, 505-512, 2006	195	2006
Natural communities in large linked networks J Hopcroft, O Khan, B Kulis, B Selman Proceedings of the ninth ACM SIGKDD international conference on Knowledge …, 2003	184	2003

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