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Lawrence K. Saul: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Lawrence K. Saul, Tommi Jaakkola, Michael I. Jordan
    Mean Field Theory for Sigmoid Belief Networks. [Citation Graph (1, 0)][DBLP]
    J. Artif. Intell. Res. (JAIR), 1996, v:4, n:, pp:61-76 [Journal]
  2. Kilian Q. Weinberger, Lawrence K. Saul
    An Introduction to Nonlinear Dimensionality Reduction by Maximum Variance Unfolding. [Citation Graph (0, 0)][DBLP]
    AAAI, 2006, pp:- [Conf]
  3. Lawrence K. Saul, Satinder P. Singh
    Markov Decision Processes in Large State Spaces. [Citation Graph (0, 0)][DBLP]
    COLT, 1995, pp:281-288 [Conf]
  4. Lawrence K. Saul, Satinder P. Singh
    Learning Curve Bounds for a Markov Decision Process with Undiscounted Rewards. [Citation Graph (0, 0)][DBLP]
    COLT, 1996, pp:147-156 [Conf]
  5. Fei Sha, Lawrence K. Saul, Daniel D. Lee
    Multiplicative Updates for Large Margin Classifiers. [Citation Graph (0, 0)][DBLP]
    COLT, 2003, pp:188-202 [Conf]
  6. Kilian Q. Weinberger, Lawrence K. Saul
    Unsupervised Learning of Image Manifolds by Semidefinite Programming. [Citation Graph (0, 0)][DBLP]
    CVPR (2), 2004, pp:988-995 [Conf]
  7. Lawrence K. Saul
    Automatic Segmentation of Continuous Trajectories with Invariance to Nonlinear Warpings of Time. [Citation Graph (0, 0)][DBLP]
    ICML, 1998, pp:506-514 [Conf]
  8. Fei Sha, Lawrence K. Saul
    Analysis and extension of spectral methods for nonlinear dimensionality reduction. [Citation Graph (0, 0)][DBLP]
    ICML, 2005, pp:784-791 [Conf]
  9. Kilian Q. Weinberger, Fei Sha, Lawrence K. Saul
    Learning a kernel matrix for nonlinear dimensionality reduction. [Citation Graph (0, 0)][DBLP]
    ICML, 2004, pp:- [Conf]
  10. Yun Mao, Lawrence K. Saul
    Modeling distances in large-scale networks by matrix factorization. [Citation Graph (0, 0)][DBLP]
    Internet Measurement Conference, 2004, pp:278-287 [Conf]
  11. J. Ashley Burgoyne, Lawrence K. Saul
    Learning Harmonic Relationships in Digital Audio with Dirichlet-Based Hidden Markov Models. [Citation Graph (0, 0)][DBLP]
    ISMIR, 2005, pp:438-443 [Conf]
  12. John Blitzer, Kilian Q. Weinberger, Lawrence K. Saul, Fernando Pereira
    Hierarchical Distributed Representations for Statistical Language Modeling. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  13. Tommi Jaakkola, Lawrence K. Saul, Michael I. Jordan
    Fast Learning by Bounding Likelihoods in Sigmoid Type Belief Networks. [Citation Graph (0, 0)][DBLP]
    NIPS, 1995, pp:528-534 [Conf]
  14. Michael I. Jordan, Zoubin Ghahramani, Lawrence K. Saul
    Hidden Markov Decision Trees. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:501-507 [Conf]
  15. Michael J. Kearns, Lawrence K. Saul
    Inference in Multilayer Networks via Large Deviation Bounds. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:260-266 [Conf]
  16. Lawrence K. Saul, Jont B. Allen
    Periodic Component Analysis: An Eigenvalue Method for Representing Periodic Structure in Speech. [Citation Graph (0, 0)][DBLP]
    NIPS, 2000, pp:807-813 [Conf]
  17. Lawrence K. Saul, Michael I. Jordan
    Boltzmann Chains and Hidden Markov Models. [Citation Graph (0, 0)][DBLP]
    NIPS, 1994, pp:435-442 [Conf]
  18. Lawrence K. Saul, Michael I. Jordan
    Exploiting Tractable Substructures in Intractable Networks. [Citation Graph (0, 0)][DBLP]
    NIPS, 1995, pp:486-492 [Conf]
  19. Lawrence K. Saul, Michael I. Jordan
    A Variational Principle for Model-based Morphing. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:267-273 [Conf]
  20. Lawrence K. Saul, Daniel D. Lee
    Multiplicative Updates for Classification by Mixture Models. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:897-904 [Conf]
  21. Sam T. Roweis, Lawrence K. Saul, Geoffrey E. Hinton
    Global Coordination of Local Linear Models. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:889-896 [Conf]
  22. Lawrence K. Saul, Daniel D. Lee, Charles L. Isbell, Yann LeCun
    Real Time Voice Processing with Audiovisual Feedback: Toward Autonomous Agents with Perfect Pitch. [Citation Graph (0, 0)][DBLP]
    NIPS, 2002, pp:1181-1188 [Conf]
  23. Lawrence K. Saul, Mazin G. Rahim
    Modeling Acoustic Correlations by Factor Analysis. [Citation Graph (0, 0)][DBLP]
    NIPS, 1997, pp:- [Conf]
  24. Lawrence K. Saul, Mazin G. Rahim
    Markov Processes on Curves for Automatic Speech Recognition. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:751-760 [Conf]
  25. Fei Sha, Lawrence K. Saul
    Real-Time Pitch Determination of One or More Voices by Nonnegative Matrix Factorization. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  26. Fei Sha, Lawrence K. Saul, Daniel D. Lee
    Multiplicative Updates for Nonnegative Quadratic Programming in Support Vector Machines. [Citation Graph (0, 0)][DBLP]
    NIPS, 2002, pp:1041-1048 [Conf]
  27. Kilian Q. Weinberger, John Blitzer, Lawrence K. Saul
    Distance Metric Learning for Large Margin Nearest Neighbor Classification. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  28. Michael J. Kearns, Lawrence K. Saul
    Large Deviation Methods for Approximate Probabilistic Inference. [Citation Graph (0, 0)][DBLP]
    UAI, 1998, pp:311-319 [Conf]
  29. Lawrence K. Saul, Fernando Pereira
    Aggregate and mixed-order Markov models for statistical language processing [Citation Graph (0, 0)][DBLP]
    CoRR, 1997, v:0, n:, pp:- [Journal]
  30. Lawrence K. Saul, Tommi Jaakkola, Michael I. Jordan
    Mean Field Theory for Sigmoid Belief Networks [Citation Graph (0, 0)][DBLP]
    CoRR, 1996, v:0, n:, pp:- [Journal]
  31. Kilian Q. Weinberger, Lawrence K. Saul
    Unsupervised Learning of Image Manifolds by Semidefinite Programming. [Citation Graph (0, 0)][DBLP]
    International Journal of Computer Vision, 2006, v:70, n:1, pp:77-90 [Journal]
  32. Lawrence K. Saul, Sam T. Roweis
    Think Globally, Fit Locally: Unsupervised Learning of Low Dimensional Manifold. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2003, v:4, n:, pp:119-155 [Journal]
  33. Michael I. Jordan, Zoubin Ghahramani, Tommi Jaakkola, Lawrence K. Saul
    An Introduction to Variational Methods for Graphical Models. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 1999, v:37, n:2, pp:183-233 [Journal]
  34. Lawrence K. Saul, Michael I. Jordan
    Mixed Memory Markov Models: Decomposing Complex Stochastic Processes as Mixtures of Simpler Ones. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 1999, v:37, n:1, pp:75-87 [Journal]
  35. Lawrence K. Saul, Mazin G. Rahim
    Markov Processes on Curves. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2000, v:41, n:3, pp:345-363 [Journal]
  36. Lawrence K. Saul, Michael I. Jordan
    Attractor Dynamics in Feedforward Neural Networks. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 2000, v:12, n:6, pp:1313-1335 [Journal]
  37. Lawrence K. Saul, Mazin G. Rahim, Jont B. Allen
    A statistical model for robust integration of narrowband cues in speech. [Citation Graph (0, 0)][DBLP]
    Computer Speech & Language, 2001, v:15, n:2, pp:175-194 [Journal]
  38. Fei Sha, Y. Albert Park, Lawrence K. Saul
    Multiplicative Updates for L1-Regularized Linear and Logistic Regression. [Citation Graph (0, 0)][DBLP]
    IDA, 2007, pp:13-24 [Conf]
  39. Fei Sha, Lawrence K. Saul
    Large Margin Hidden Markov Models for Automatic Speech Recognition. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:1249-1256 [Conf]
  40. Kilian Q. Weinberger, Fei Sha, Qihui Zhu, Lawrence K. Saul
    Graph Laplacian Regularization for Large-Scale Semidefinite Programming. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:1489-1496 [Conf]

  41. Fast solvers and efficient implementations for distance metric learning. [Citation Graph (, )][DBLP]


  42. Learning dictionaries of stable autoregressive models for audio scene analysis. [Citation Graph (, )][DBLP]


  43. Identifying suspicious URLs: an application of large-scale online learning. [Citation Graph (, )][DBLP]


  44. Matrix updates for perceptron training of continuous density hidden Markov models. [Citation Graph (, )][DBLP]


  45. Mapping Uncharted Waters: Exploratory Analysis, Visualization, and Clustering of Oceanographic Data. [Citation Graph (, )][DBLP]


  46. Beyond blacklists: learning to detect malicious web sites from suspicious URLs. [Citation Graph (, )][DBLP]


  47. Beyond heuristics: learning to classify vulnerabilities and predict exploits. [Citation Graph (, )][DBLP]


  48. Nonnegative matrix factorization for real time musical analysis and sight-reading evaluation. [Citation Graph (, )][DBLP]


  49. Sparse decomposition of mixed audio signals by basis pursuit with autoregressive models. [Citation Graph (, )][DBLP]


  50. Technical perspective - The ultimate pilot program. [Citation Graph (, )][DBLP]


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