Lawrence K Saul
Lawrence K Saul
Professor of Computer Science and Engineering, UC San Diego
Verified email at cs.ucsd.edu - Homepage
Title
Cited by
Cited by
Year
Nonlinear dimensionality reduction by locally linear embedding
ST Roweis, LK Saul
science 290 (5500), 2323-2326, 2000
151802000
An introduction to variational methods for graphical models
MI Jordan, Z Ghahramani, TS Jaakkola, LK Saul
Machine learning 37 (2), 183-233, 1999
38981999
Distance metric learning for large margin nearest neighbor classification.
KQ Weinberger, LK Saul
Journal of Machine Learning Research 10 (2), 2009
32102009
Distance metric learning for large margin nearest neighbor classification
KQ Weinberger, J Blitzer, L Saul
Advances in neural information processing systems 18, 1473-1480, 2005
20862005
Think globally, fit locally: unsupervised learning of low dimensional manifolds
LK Saul, ST Roweis
Journal of machine learning research 4 (Jun), 119-155, 2003
19782003
Unsupervised learning of image manifolds by semidefinite programming
KQ Weinberger, LK Saul
International journal of computer vision 70 (1), 77-90, 2006
10792006
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
8562009
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
5732009
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
5452004
Mean field theory for sigmoid belief networks
LK Saul, T Jaakkola, MI Jordan
Journal of artificial intelligence research 4, 61-76, 1996
4841996
Kernel methods for deep learning
Y Cho, L Saul
Advances in neural information processing systems 22, 342-350, 2009
4802009
Multiplicative updates for nonnegative quadratic programming in support vector machines
F Sha, L Saul, D Lee
Advances in neural information processing systems 15, 1065-1072, 2002
3452002
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
3322008
An introduction to nonlinear dimensionality reduction by maximum variance unfolding
KQ Weinberger, LK Saul
AAAI 6, 1683-1686, 2006
3112006
Exploiting tractable substructures in intractable networks
L Saul, M Jordan
Advances in neural information processing systems 8, 486-492, 1995
3061995
Spectral methods for dimensionality reduction.
LK Saul, KQ Weinberger, F Sha, J Ham, DD Lee
Semi-supervised learning 3, 2006
3012006
Semisupervised alignment of manifolds.
J Ham, DD Lee, LK Saul
AISTATS 120, 120-127, 2005
3012005
Global coordination of local linear models
S Roweis, L Saul, GE Hinton
Advances in neural information processing systems 14, 889-896, 2001
2692001
Aggregate and mixed-order Markov models for statistical language processing
L Saul, F Pereira
arXiv preprint cmp-lg/9706007, 1997
2471997
Large margin hidden Markov models for automatic speech recognition
F Sha, L Saul
Advances in neural information processing systems 19, 1249-1256, 2006
2322006
The system can't perform the operation now. Try again later.
Articles 1–20