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
141692000
An introduction to variational methods for graphical models
MI Jordan, Z Ghahramani, TS Jaakkola, LK Saul
Machine learning 37 (2), 183-233, 1999
35151999
Distance metric learning for large margin nearest neighbor classification
KQ Weinberger, LK Saul
Journal of Machine Learning Research 10 (Feb), 207-244, 2009
28382009
Distance metric learning for large margin nearest neighbor classification
KQ Weinberger, J Blitzer, LK Saul
Advances in neural information processing systems, 1473-1480, 2006
19412006
Think globally, fit locally: unsupervised learning of low dimensional manifolds
LK Saul, ST Roweis
Journal of machine learning research 4 (Jun), 119-155, 2003
19152003
Unsupervised learning of image manifolds by semidefinite programming
KQ Weinberger, LK Saul
International journal of computer vision 70 (1), 77-90, 2006
10352006
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
7902009
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
5322009
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
5262004
Mean field theory for sigmoid belief networks
LK Saul, T Jaakkola, MI Jordan
Journal of artificial intelligence research 4, 61-76, 1996
4481996
Kernel methods for deep learning
Y Cho, LK Saul
Advances in neural information processing systems, 342-350, 2009
3832009
Multiplicative updates for nonnegative quadratic programming in support vector machines
F Sha, LK Saul, DD Lee
Advances in neural information processing systems, 1065-1072, 2003
3342003
Advances in Neural Information Processing Systems 16: Proceedings of the 2003 Conference
S Thrun, LK Saul, B Schölkopf
MIT press, 2004
3332004
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
3122008
An introduction to nonlinear dimensionality reduction by maximum variance unfolding
KQ Weinberger, LK Saul
AAAI 6, 1683-1686, 2006
2972006
Exploiting tractable substructures in intractable networks
LK Saul, MI Jordan
Advances in neural information processing systems, 486-492, 1996
2901996
Spectral methods for dimensionality reduction
LK Saul, KQ Weinberger, JH Ham, F Sha, DD Lee
Semisupervised learning, 293-308, 2006
2862006
Semisupervised alignment of manifolds.
J Ham, DD Lee, LK Saul
AISTATS 120, 27, 2005
2822005
Global coordination of local linear models
ST Roweis, LK Saul, GE Hinton
Advances in neural information processing systems, 889-896, 2002
2602002
Aggregate and mixed-order Markov models for statistical language processing
L Saul, F Pereira
arXiv preprint cmp-lg/9706007, 1997
2441997
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