About
Discord Stateoftheart AI
GitHub

Publications

155

Cited by

37064

Lawrence K Saul

machine learninghigh dimensional data analysis

Professor of Computer Science and Engineering, UC San Diego

Papers and Citations

1 - 50
Nonlinear dimensionality reduction by locally linear embedding
2000
Lawrence K Saul
ST Roweis
Cited by 15147
An introduction to variational methods for graphical models
1999
Zoubin Ghahramani
Michael I. Jordan
Tommi Jaakkola
+1
Cited by 3755
Distance metric learning for large margin nearest neighbor classification.
2009
Lawrence K Saul
Kilian Weinberger
Cited by 3531
Distance metric learning for large margin nearest neighbor classification
2006
John Blitzer
Kilian Weinberger
Lawrence K Saul
Cited by 2049
Think globally, fit locally: unsupervised learning of low dimensional manifolds
2003
Lawrence K Saul
ST Roweis
Cited by 1979
Unsupervised learning of image manifolds by semidefinite programming
2004
Lawrence K Saul
Kilian Weinberger
Cited by 1064
Beyond blacklists: learning to detect malicious web sites from suspicious URLs
2009
Stefan Savage
Lawrence K Saul
Geoffrey M. Voelker
+1
Cited by 855
Identifying suspicious URLs: an application of large-scale online learning
2009
Stefan Savage
Geoffrey M. Voelker
Lawrence K Saul
+1
Cited by 572
Kernel methods for deep learning
2009
Lawrence K Saul
Y Cho
Cited by 542
Learning a kernel matrix for nonlinear dimensionality reduction
2004
Lawrence K Saul
Kilian Weinberger
Fei Sha
Cited by 535
Mean field theory for sigmoid belief networks
1996
Michael I. Jordan
Tommi Jaakkola
Lawrence K Saul
Cited by 484
Multiplicative updates for nonnegative quadratic programming in support vector machines
2003
Fei Sha
Lawrence K Saul
Daniel D. Lee
Cited by 345
Fast solvers and efficient implementations for distance metric learning
2008
Lawrence K Saul
Kilian Weinberger
Cited by 326
Semisupervised alignment of manifolds .
2005
Daniel D. Lee
Lawrence K Saul
J Ham
Cited by 317
An introduction to nonlinear dimensionality reduction by maximum variance unfolding
2006
Lawrence K Saul
Kilian Weinberger
Cited by 308
Exploiting tractable substructures in intractable networks
1996
Lawrence K Saul
Michael I. Jordan
Cited by 306
Semisupervised alignment of manifolds.
2005
Lawrence K Saul
Daniel D. Lee
J Ham
Cited by 300
Global coordination of local linear models
2002
Geoffrey Hinton
Lawrence K Saul
ST Roweis
Cited by 269
Aggregate and mixed-order Markov models for statistical language processing
1997
Lawrence K Saul
Fernando Pereira
Cited by 247
An introduction to locally linear embedding
2000
Lawrence K Saul
ST Roweis
Cited by 231
Large margin hidden Markov models for automatic speech recognition
2007
Lawrence K Saul
Fei Sha
Cited by 229
Mixed memory markov models: Decomposing complex stochastic processes as mixtures of simpler ones
1999
Lawrence K Saul
Michael I. Jordan
Cited by 227
An introduction to graphical models
1997
Lawrence K Saul
Tommi Jaakkola
Zoubin Ghahramani
+1
Cited by 220
Learning to detect malicious urls
2011
Stefan Savage
Lawrence K Saul
Geoffrey M. Voelker
+1
Cited by 217
Nonlinear Dimensionality Reduction by Semidefinite Programming and Kernel Matrix Factorization.
2005
Kilian Weinberger
Lawrence K Saul
Ben Packer
Cited by 197
Large margin Gaussian mixture modeling for phonetic classification and recognition
2006
Fei Sha
Lawrence K Saul
Cited by 189
Beyond heuristics: learning to classify vulnerabilities and predict exploits
2010
M Bozorgi
GM Voelker
Stefan Savage
+1
Cited by 182
Hidden Markov decision trees
1997
Michael I. Jordan
Lawrence K Saul
Zoubin Ghahramani
Cited by 151
Analysis and extension of spectral methods for nonlinear dimensionality reduction
2005
Fei Sha
Lawrence K Saul
Cited by 145
Modeling distances in large-scale networks by matrix factorization
2004
Lawrence K Saul
Yun Mao
Cited by 138
Boltzmann chains and hidden Markov models
1995
Lawrence K Saul
Michael I. Jordan
Cited by 137
Ides: An internet distance estimation service for large networks
2006
Yun Mao
Lawrence K Saul
Jonathan Smith
Cited by 126
eDoctor: Automatically diagnosing abnormal battery drain issues on smartphones
2013
Geoffrey M Voelker
Xiao Ma
Dongcai Shen
+6
Cited by 111
Maximum likelihood and minimum classification error factor analysis for automatic speech recognition
2000
Lawrence K Saul
MG Rahim
Cited by 106
Real-time pitch determination of one or more voices by nonnegative matrix factorization
2005
Lawrence K Saul
Fei Sha
Cited by 97
Comparison of large margin training to other discriminative methods for phonetic recognition by hidden Markov models
2007
Fei Sha
Lawrence K Saul
Cited by 94
Hidden-unit conditional random fields
2011
Max Welling
Laurens van der Maaten
Lawrence K Saul
Cited by 80
A Probabilistic Topic Model for Unsupervised Learning of Musical Key-Profiles.
2009
Lawrence K Saul
D Hu
Cited by 79
Learning high dimensional correspondences from low dimensional manifolds
2003
Lawrence K Saul
Daniel D. Lee
JH Ham
Cited by 76
The 2d±J Ising spin glass: exact partition functions in polynomial time
1994
Lawrence K Saul
Mehran Kardar
Cited by 73
Exploratory analysis and visualization of speech and music by locally linear embedding
2004
Lawrence K Saul
Viren Jain
Cited by 69
Periodic component analysis: an eigenvalue method for representing periodic structure in speech
2001
Jont B Allen
Lawrence K Saul
Cited by 65
Large deviation methods for approximate probabilistic inference
2013
Michael Kearns
Lawrence K Saul
Cited by 62
Large-margin classification in infinite neural networks
2010
Lawrence K Saul
Y Cho
Cited by 61
Learning in Boltzmann trees
1994
Lawrence K Saul
Michael I. Jordan
Cited by 61
Multiplicative updates for classification by mixture models
2002
Daniel D. Lee
Lawrence K Saul
Cited by 57
Search+ seizure: The effectiveness of interventions on seo campaigns
2014
S Savage
M Der
GM Voelker
+4
Cited by 40
Who is. com? Learning to parse WHOIS records
2015
S Liu
Ian D. Foster
Lawrence K Saul
+2
Cited by 40
Convex optimizations for distance metric learning and pattern classification [applications corner]
2010
Kilian Weinberger
Fei Sha
Lawrence K Saul
Cited by 40
Hierarchical distributed representations for statistical language modeling
2005
Lawrence K Saul
John Blitzer
Kilian Weinberger
+1
Cited by 40