Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Brian Kulis

Showing results (1-10 of 5) with videos related to

Pageof 1
Sort By:
IEEE Transactions on Pattern Analysis and Machine Intelligence|November 9, 2011
Kernelized locality-sensitive hashingBrian Kulis, Kristen Grauman
IEEE Transactions on Pattern Analysis and Machine Intelligence|July 12, 2018
Dynamic Clustering Algorithms via Small-Variance Analysis of Markov Chain Mixture ModelsTrevor Campbell, Brian Kulis, Jonathan How
IEEE Transactions on Pattern Analysis and Machine Intelligence|October 17, 2009
Fast similarity search for learned metricsBrian Kulis, Prateek Jain, Kristen Grauman
IEEE Transactions on Pattern Analysis and Machine Intelligence|September 13, 2007
Weighted graph cuts without eigenvectors a multilevel approachInderjit S Dhillon, Yuqiang Guan, Brian Kulis
Proceedings of the National Academy of Sciences of the United States of America|February 6, 2004
Tracking evolving communities in large linked networksJohn Hopcroft, Omar Khan, Brian Kulis, et al.
Pageof 1

Showing results (1-10 of 5) with videos related to

Sort By:
Pageof 1
IEEE Transactions on Pattern Analysis and Machine Intelligence|November 9, 2011
Kernelized locality-sensitive hashingBrian Kulis, Kristen Grauman
IEEE Transactions on Pattern Analysis and Machine Intelligence|July 12, 2018
Dynamic Clustering Algorithms via Small-Variance Analysis of Markov Chain Mixture ModelsTrevor Campbell, Brian Kulis, Jonathan How
IEEE Transactions on Pattern Analysis and Machine Intelligence|October 17, 2009
Fast similarity search for learned metricsBrian Kulis, Prateek Jain, Kristen Grauman
IEEE Transactions on Pattern Analysis and Machine Intelligence|September 13, 2007
Weighted graph cuts without eigenvectors a multilevel approachInderjit S Dhillon, Yuqiang Guan, Brian Kulis
Proceedings of the National Academy of Sciences of the United States of America|February 6, 2004
Tracking evolving communities in large linked networksJohn Hopcroft, Omar Khan, Brian Kulis, et al.
Pageof 1