Lawrence K Saul
Lawrence K Saul
Professor of Computer Science and Engineering, UC San Diego
確認したメール アドレス: cs.ucsd.edu - ホームページ
タイトル
引用先
引用先
Nonlinear dimensionality reduction by locally linear embedding
ST Roweis, LK Saul
science 290 (5500), 2323-2326, 2000
147392000
An introduction to variational methods for graphical models
MI Jordan, Z Ghahramani, TS Jaakkola, LK Saul
Machine learning 37 (2), 183-233, 1999
36811999
Distance metric learning for large margin nearest neighbor classification.
KQ Weinberger, LK Saul
Journal of Machine Learning Research 10 (2), 2009
29892009
Principal manifolds and nonlinear dimensionality reduction via tangent space alignment
Z Zhang, H Zha
SIAM journal on scientific computing 26 (1), 313-338, 2004
20222004
Distance metric learning for large margin nearest neighbor classification
KQ Weinberger, J Blitzer, LK Saul
Advances in neural information processing systems, 1473-1480, 2006
19972006
Think globally, fit locally: unsupervised learning of low dimensional manifolds
LK Saul, ST Roweis
Journal of machine learning research 4 (Jun), 119-155, 2003
19472003
Robust image segmentation using FCM with spatial constraints based on new kernel-induced distance measure
S Chen, D Zhang
IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 34 …, 2004
11482004
Unsupervised learning of image manifolds by semidefinite programming
KQ Weinberger, LK Saul
International journal of computer vision 70 (1), 77-90, 2006
10482006
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
8172009
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
5552009
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
5342004
Mean field theory for sigmoid belief networks
LK Saul, T Jaakkola, MI Jordan
Journal of artificial intelligence research 4, 61-76, 1996
4661996
Kernel methods for deep learning
Y Cho, LK Saul
Advances in neural information processing systems, 342-350, 2009
4322009
Advances in Neural Information Processing Systems 16: Proceedings of the 2003 Conference
S Thrun, LK Saul, B Schölkopf
MIT press, 2004
3582004
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
3362003
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
3212008
An introduction to nonlinear dimensionality reduction by maximum variance unfolding
KQ Weinberger, LK Saul
AAAI 6, 1683-1686, 2006
3062006
Exploiting tractable substructures in intractable networks
LK Saul, MI Jordan
Advances in neural information processing systems, 486-492, 1996
2961996
Spectral methods for dimensionality reduction.
LK Saul, KQ Weinberger, F Sha, J Ham, DD Lee
Semi-supervised learning 3, 2006
2942006
Semisupervised alignment of manifolds.
J Ham, DD Lee, LK Saul
AISTATS 120, 120-127, 2005
2932005
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