Lawrence K Saul

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Michael I. JordanProfessor of Electrical Engineering and Computer Sciences and Professor of Statistics, UC BerkeleyAdresse e-mail validée de cs.berkeley.edu
Geoffrey M. VoelkerUniversity of California, San DiegoAdresse e-mail validée de cs.ucsd.edu
Sam Roweis (Memorial)New York UniversityAdresse e-mail validée de buffalo.edu
Stefan SavageProfessor of Computer Science and Engineering, UC San DiegoAdresse e-mail validée de cs.ucsd.edu
Zoubin GhahramaniProfessor, University of Cambridge, and Distinguished Researcher, GoogleAdresse e-mail validée de eng.cam.ac.uk
Daniel D. LeeTisch University Professor of ECE, Cornell Tech and Executive Vice President, Samsung ResearchAdresse e-mail validée de alum.mit.edu
John BlitzerGoogle ResearchAdresse e-mail validée de google.com
Diane HuEtsyAdresse e-mail validée de etsy.com
Fernando PereiraVP and Engineering Fellow, GoogleAdresse e-mail validée de google.com
Jont B AllenUniversity of IL, Professor of ECEAdresse e-mail validée de illinois.edu
Yun MaoFacebookAdresse e-mail validée de fb.com
John Ashley BurgoyneUniversity of AmsterdamAdresse e-mail validée de uva.nl
Do-kyum KimPhD Student of Computer Science, UCSDAdresse e-mail validée de cs.ucsd.edu
Yuanyuan ZhouUniversity of California, San DiegoAdresse e-mail validée de eng.ucsd.edu
Peng HuangJohns Hopkins UniversityAdresse e-mail validée de cs.jhu.edu
Geoffrey HintonEmeritus Prof. Comp Sci, U.Toronto & Engineering Fellow, GoogleAdresse e-mail validée de cs.toronto.edu
Laurens van der MaatenResearch Director, Facebook AI ResearchAdresse e-mail validée de fb.com
Ian D. FosterUC San DiegoAdresse e-mail validée de eng.ucsd.edu
Andrew I. ScheinWaymo - Behavior and PlanningAdresse e-mail validée de andrewschein.com
Lyle UngarUniversity of PennsylvaniaAdresse e-mail validée de cis.upenn.edu

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Lawrence K Saul

Professor of Computer Science and Engineering, UC San Diego

Adresse e-mail validée de cs.ucsd.edu - Page d'accueil

Machine learning high dimensional data analysis


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
Nonlinear dimensionality reduction by locally linear embedding ST Roweis, LK Saul science 290 (5500), 2323-2326, 2000	16847	2000
An introduction to variational methods for graphical models MI Jordan, Z Ghahramani, TS Jaakkola, LK Saul Machine learning 37 (2), 183-233, 1999	4526	1999
Distance metric learning for large margin nearest neighbor classification. KQ Weinberger, LK Saul Journal of machine learning research 10 (2), 2009	4023	2009
Distance metric learning for large margin nearest neighbor classification KQ Weinberger, J Blitzer, L Saul Advances in neural information processing systems 18, 2005	2308	2005
Think globally, fit locally: unsupervised learning of low dimensional manifolds LK Saul, ST Roweis Journal of machine learning research 4 (Jun), 119-155, 2003	2127	2003
Unsupervised learning of image manifolds by semidefinite programming KQ Weinberger, LK Saul International journal of computer vision 70 (1), 77-90, 2006	1148	2006
Beyond blacklists: learning to detect malicious web sites from suspicious URLs J Ma, LK Saul, S Savage, GM Voelker Proceedings of the 15th ACM SIGKDD international conference on Knowledge …, 2009	1004	2009
Identifying suspicious URLs: an application of large-scale online learning J Ma, LK Saul, S Savage, GM Voelker Proceedings of the 26th annual international conference on machine learning …, 2009	679	2009
Kernel methods for deep learning Y Cho, L Saul Advances in neural information processing systems 22, 2009	650	2009
Learning a kernel matrix for nonlinear dimensionality reduction KQ Weinberger, F Sha, LK Saul Proceedings of the twenty-first international conference on Machine learning …, 2004	623	2004
Mean field theory for sigmoid belief networks LK Saul, T Jaakkola, MI Jordan Journal of artificial intelligence research 4, 61-76, 1996	536	1996
Multiplicative updates for nonnegative quadratic programming in support vector machines F Sha, L Saul, D Lee Advances in neural information processing systems 15, 2002	364	2002
Fast solvers and efficient implementations for distance metric learning KQ Weinberger, LK Saul Proceedings of the 25th international conference on Machine learning, 1160-1167, 2008	362	2008
An introduction to nonlinear dimensionality reduction by maximum variance unfolding KQ Weinberger, LK Saul AAAI 6, 1683-1686, 2006	336	2006
Spectral methods for dimensionality reduction. LK Saul, KQ Weinberger, F Sha, J Ham, DD Lee Semi-supervised learning 3, 2006	327	2006
Exploiting tractable substructures in intractable networks L Saul, M Jordan Advances in neural information processing systems 8, 1995	327	1995
Semisupervised alignment of manifolds J Ham, D Lee, L Saul International Workshop on Artificial Intelligence and Statistics, 120-127, 2005	322	2005
Global coordination of local linear models S Roweis, L Saul, GE Hinton Advances in neural information processing systems 14, 2001	291	2001
An introduction to locally linear embedding LK Saul, ST Roweis unpublished. Available at: http://www. cs. toronto. edu/~ roweis/lle …, 2000	270	2000
Learning to detect malicious urls J Ma, LK Saul, S Savage, GM Voelker ACM Transactions on Intelligent Systems and Technology (TIST) 2 (3), 1-24, 2011	260	2011

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