Lawrence K Saul
Lawrence K Saul
Professor of Computer Science and Engineering, UC San Diego
Verified email at cs.ucsd.edu - Homepage
TitleCited byYear
Nonlinear dimensionality reduction by locally linear embedding
ST Roweis, LK Saul
science 290 (5500), 2323-2326, 2000
132352000
An introduction to variational methods for graphical models
MI Jordan, Z Ghahramani, TS Jaakkola, LK Saul
Machine learning 37 (2), 183-233, 1999
31601999
Distance metric learning for large margin nearest neighbor classification
KQ Weinberger, LK Saul
Journal of Machine Learning Research 10 (Feb), 207-244, 2009
23872009
Think globally, fit locally: unsupervised learning of low dimensional manifolds
LK Saul, ST Roweis
Journal of machine learning research 4 (Jun), 119-155, 2003
18172003
Distance metric learning for large margin nearest neighbor classification
KQ Weinberger, J Blitzer, LK Saul
Advances in neural information processing systems, 1473-1480, 2006
17142006
Unsupervised learning of image manifolds by semidefinite programming
KQ Weinberger, LK Saul
International journal of computer vision 70 (1), 77-90, 2006
9842006
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
6632009
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
5012004
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
4742009
Mean field theory for sigmoid belief networks
LK Saul, T Jaakkola, MI Jordan
Journal of artificial intelligence research 4, 61-76, 1996
4231996
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
2882008
Kernel methods for deep learning
Y Cho, LK Saul
Advances in neural information processing systems, 342-350, 2009
2852009
An introduction to nonlinear dimensionality reduction by maximum variance unfolding
KQ Weinberger, LK Saul
AAAI 6, 1683-1686, 2006
2762006
Exploiting tractable substructures in intractable networks
LK Saul, MI Jordan
Advances in neural information processing systems, 486-492, 1996
2731996
Semisupervised alignment of manifolds.
J Ham, DD Lee, LK Saul
AISTATS, 120-127, 2005
2582005
Global coordination of local linear models
ST Roweis, LK Saul, GE Hinton
Advances in neural information processing systems, 889-896, 2002
2482002
Spectral methods for dimensionality reduction
LK Saul, KQ Weinberger, JH Ham, F Sha, DD Lee
Semisupervised learning, 293-308, 2006
2382006
Aggregate and mixed-order Markov models for statistical language processing
L Saul, F Pereira
arXiv preprint cmp-lg/9706007, 1997
2321997
Advances in Neural Information Processing Systems 16: Proceedings of the 2003 Conference
S Thrun, LK Saul, B Schölkopf
MIT press, 2004
2222004
Large margin hidden Markov models for automatic speech recognition
F Sha, LK Saul
Advances in neural information processing systems, 1249-1256, 2007
2142007
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