Lawrence K Saul

Cited by

	All	Since 2016
Citations	40576	16540
h-index	49	34
i10-index	102	61

3100

1550

775

2325

199819992000200120022003200420052006200720082009201020112012201320142015201620172018201920202021115 145 144 190 269 414 484 800 1081 1407 1489 1810 2088 2248 2454 2561 2729 2858 3040 2848 3033 3094 3001 1523

Public access

View all

8 articles

1 article

available

not available

Based on funding mandates

Co-authors

Michael I. JordanProfessor of Electrical Engineering and Computer Sciences and Professor of Statistics, UC BerkeleyVerified email at cs.berkeley.edu
Geoffrey M. VoelkerUniversity of California, San DiegoVerified email at cs.ucsd.edu
Sam Roweis (Memorial)New York UniversityVerified email at buffalo.edu
Stefan SavageProfessor of Computer Science and Engineering, UC San DiegoVerified email at cs.ucsd.edu
Zoubin GhahramaniProfessor, University of Cambridge, and Distinguished Researcher, GoogleVerified email at eng.cam.ac.uk
Daniel D. LeeTisch University Professor of ECE, Cornell Tech and Executive Vice President, Samsung ResearchVerified email at alum.mit.edu
John BlitzerGoogle ResearchVerified email at google.com
Diane HuEtsyVerified email at etsy.com
Fernando PereiraVP and Engineering Fellow, GoogleVerified email at google.com
Jont B AllenUniversity of IL, Professor of ECEVerified email at illinois.edu
Yun MaoFacebookVerified email at fb.com
John Ashley BurgoyneVerified email at uva.nl
Yuanqing LinAibeeVerified email at aibee.co
Do-kyum KimPhD Student of Computer Science, UCSDVerified email at cs.ucsd.edu
Geoffrey HintonEmeritus Prof. Comp Sci, U.Toronto & Engineering Fellow, GoogleVerified email at cs.toronto.edu
Yuanyuan ZhouUniversity of California, San DiegoVerified email at eng.ucsd.edu
Peng HuangJohns Hopkins UniversityVerified email at cs.jhu.edu
Laurens van der MaatenResearch Director, Facebook AI ResearchVerified email at fb.com
Ian D. FosterUC San DiegoVerified email at eng.ucsd.edu
Andrew ScheinAmazon Search - Search Ranking for ProductsVerified email at andrewschein.com

Lawrence K Saul

Professor of Computer Science and Engineering, UC San Diego

Verified email at cs.ucsd.edu - Homepage

Machine learning high dimensional data analysis


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Nonlinear dimensionality reduction by locally linear embedding ST Roweis, LK Saul science 290 (5500), 2323-2326, 2000	16241	2000
An introduction to variational methods for graphical models MI Jordan, Z Ghahramani, TS Jaakkola, LK Saul Machine learning 37 (2), 183-233, 1999	4264	1999
Distance metric learning for large margin nearest neighbor classification. KQ Weinberger, LK Saul Journal of machine learning research 10 (2), 2009	3643	2009
Distance metric learning for large margin nearest neighbor classification KQ Weinberger, J Blitzer, LK Saul Advances in neural information processing systems, 1473-1480, 2006	2207	2006
Think globally, fit locally: unsupervised learning of low dimensional manifolds LK Saul, ST Roweis Departmental Papers (CIS), 12, 2003	2071	2003
Unsupervised learning of image manifolds by semidefinite programming KQ Weinberger, LK Saul International journal of computer vision 70 (1), 77-90, 2006	1136	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	926	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	634	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	583	2004
Kernel methods for deep learning Y Cho University of California, San Diego, 2012	567	2012
Mean field theory for sigmoid belief networks LK Saul, T Jaakkola, MI Jordan Journal of artificial intelligence research 4, 61-76, 1996	514	1996
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	355	2008
An introduction to nonlinear dimensionality reduction by maximum variance unfolding KQ Weinberger, LK Saul AAAI 6, 1683-1686, 2006	324	2006
Exploiting tractable substructures in intractable networks LK Saul, MI Jordan Advances in neural information processing systems, 486-492, 1996	319	1996
Semisupervised alignment of manifolds J Ham, D Lee, L Saul International Workshop on Artificial Intelligence and Statistics, 120-127, 2005	316	2005
Spectral methods for dimensionality reduction. LK Saul, KQ Weinberger, F Sha, J Ham, DD Lee Semi-supervised learning 3, 2006	308	2006
Global coordination of local linear models ST Roweis, LK Saul, GE Hinton Advances in neural information processing systems 2, 889-896, 2002	286	2002
An introduction to locally linear embedding LK Saul, ST Roweis unpublished. Available at: http://www. cs. toronto. edu/~ roweis/lle …, 2000	261	2000
Aggregate and mixed-order Markov models for statistical language processing L Saul, F Pereira arXiv preprint cmp-lg/9706007, 1997	239	1997
Large margin hidden Markov models for automatic speech recognition F Sha, LK Saul Advances in neural information processing systems 19, 1249, 2007	235	2007

The system can't perform the operation now. Try again later.

Articles 1–20

Citations per year

Duplicate citations

Merged citations

Add co-authorsCo-authors

Follow this author

Cited by

Co-authors