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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
168632000
An introduction to variational methods for graphical models
MI Jordan, Z Ghahramani, TS Jaakkola, LK Saul
Machine learning 37 (2), 183-233, 1999
45391999
Distance metric learning for large margin nearest neighbor classification.
KQ Weinberger, LK Saul
Journal of machine learning research 10 (2), 2009
40422009
Distance metric learning for large margin nearest neighbor classification
KQ Weinberger, J Blitzer, L Saul
Advances in neural information processing systems 18, 2005
23102005
Think globally, fit locally: unsupervised learning of low dimensional manifolds
LK Saul, ST Roweis
Journal of machine learning research 4 (Jun), 119-155, 2003
21282003
Unsupervised learning of image manifolds by semidefinite programming
KQ Weinberger, LK Saul
International journal of computer vision 70 (1), 77-90, 2006
11482006
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
10072009
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
6842009
Kernel methods for deep learning
Y Cho, L Saul
Advances in neural information processing systems 22, 2009
6502009
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
6222004
Mean field theory for sigmoid belief networks
LK Saul, T Jaakkola, MI Jordan
Journal of artificial intelligence research 4, 61-76, 1996
5371996
Multiplicative updates for nonnegative quadratic programming in support vector machines
F Sha, L Saul, D Lee
Advances in neural information processing systems 15, 2002
3642002
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
3622008
An introduction to nonlinear dimensionality reduction by maximum variance unfolding
KQ Weinberger, LK Saul
AAAI 6, 1683-1686, 2006
3362006
Exploiting tractable substructures in intractable networks
L Saul, M Jordan
Advances in neural information processing systems 8, 1995
3271995
Spectral methods for dimensionality reduction.
LK Saul, KQ Weinberger, F Sha, J Ham, DD Lee
Semi-supervised learning 3, 2006
3262006
Semisupervised alignment of manifolds
J Ham, D Lee, L Saul
International Workshop on Artificial Intelligence and Statistics, 120-127, 2005
3222005
Global coordination of local linear models
S Roweis, L Saul, GE Hinton
Advances in neural information processing systems 14, 2001
2912001
An introduction to locally linear embedding
LK Saul, ST Roweis
unpublished. Available at: http://www. cs. toronto. edu/~ roweis/lle …, 2000
2702000
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
2602011
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