Brian Kulis

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Suautori

Inderjit S. DhillonDistinguished Scientist at Google & Professor of Computer Science at UT Austin, Ex-VP at AmazonPotvrđena adresa e-pošte na cs.utexas.edu
Kate SaenkoBoston UniversityPotvrđena adresa e-pošte na bu.edu
Trevor DarrellProfessor of Computer Science, U.C. BerkeleyPotvrđena adresa e-pošte na eecs.berkeley.edu
Prateek JainGoogle Research IndiaPotvrđena adresa e-pošte na google.com
Kristen GraumanProfessor of Computer Science, University of Texas at AustinPotvrđena adresa e-pošte na cs.utexas.edu
Suvrit SraTUM and MITPotvrđena adresa e-pošte na mit.edu
Mario FritzFaculty CISPA Helmholtz Center for Information Security; Professor Saarland UniversityPotvrđena adresa e-pošte na cispa.de
Xide XiaResearch Scientist, Meta GenAIPotvrđena adresa e-pošte na fb.com
Michael I. JordanProfessor of Electrical Engineering and Computer Sciences and Professor of Statistics, UC BerkeleyPotvrđena adresa e-pošte na cs.berkeley.edu
Bart SelmanProfessor of Computer Science, Cornell UniversityPotvrđena adresa e-pošte na cs.cornell.edu
John HopcroftCornell UniversityPotvrđena adresa e-pošte na cs.cornell.edu
Ali SiahkamariPhD, Boston UniversityPotvrđena adresa e-pošte na bu.edu
Raymond MooneyProfessor of Computer Science, University of Texas at AustinPotvrđena adresa e-pošte na cs.utexas.edu
Sugato BasuDistinguished Scientist at GooglePotvrđena adresa e-pošte na google.com
Judy HoffmanAssistant Professor, Georgia TechPotvrđena adresa e-pošte na gatech.edu
Matyas A SustikUniversity of Texas at AustinPotvrđena adresa e-pošte na cs.utexas.edu
Jiawen ChenResearch Scientist at AdobePotvrđena adresa e-pošte na adobe.com
Tianfan XueInformation Engineering Department, The Chinese University of Hong KongPotvrđena adresa e-pošte na ie.cuhk.edu.hk
Venkatesh SaligramaAI Professor and Amazon ScholarPotvrđena adresa e-pošte na bu.edu
Kun HeResearch Scientist, Reality Labs @ MetaPotvrđena adresa e-pošte na meta.com

Prati

Brian Kulis

Associate Professor at Boston University & Amazon Scholar

Potvrđena adresa e-pošte na bu.edu - Početna stranica

Machine Learning Artificial Intelligence Computer Vision


Naslov Poredaj po navodima Poredaj po godini Poredaj po naslovu	Citirano Citirano	Godina
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	3613	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	2704	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	1737	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	1363	2007
Metric learning: A survey B Kulis Foundations and Trends® in Machine Learning 5 (4), 287-364, 2013	1253	2013
Kernelized locality-sensitive hashing for scalable image search B Kulis, K Grauman 2009 IEEE 12th international conference on computer vision, 2130-2137, 2009	1140	2009
Learning to hash with binary reconstructive embeddings B Kulis, T Darrell Advances in neural information processing systems 22, 2009	1043	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	917	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	673	2005
Revisiting k-means: New algorithms via bayesian nonparametrics B Kulis, MI Jordan arXiv preprint arXiv:1111.0352, 2011	482	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	466	2004
Kernelized locality-sensitive hashing B Kulis, K Grauman IEEE Transactions on Pattern Analysis and Machine Intelligence 34 (6), 1092-1104, 2011	424	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	359	2008
W-net: A deep model for fully unsupervised image segmentation X Xia, B Kulis arXiv preprint arXiv:1711.08506, 2017	353	2017
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	335	2019
Fast similarity search for learned metrics B Kulis, P Jain, K Grauman IEEE Transactions on Pattern Analysis and Machine Intelligence 31 (12), 2143 …, 2009	323	2009
Low-Rank Kernel Learning with Bregman Matrix Divergences. B Kulis, MA Sustik, IS Dhillon Journal of Machine Learning Research 10 (2), 2009	315	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	290	2004
Online metric learning and fast similarity search P Jain, B Kulis, I Dhillon, K Grauman Advances in neural information processing systems 21, 2008	264	2008
Learning low-rank kernel matrices B Kulis, M Sustik, I Dhillon Proceedings of the 23rd international conference on Machine learning, 505-512, 2006	249	2006

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