Saul, Lawrence K. - Department of Computer Science and Engineering, University of California at San Diego

• Large Margin Training of Continuous Density Hidden Markov Models
• Real-Time Pitch Determination of One or More Voices by Nonnegative Matrix Factorization
• VISUALIZATION OF LOW DIMENSIONAL STRUCTURE IN TONAL PITCH SPACE
• Unsupervised Learning of Image Manifolds by Semidefinite Programming Kilian Q. Weinberger and Lawrence K. Saul
• A Fast Online Algorithm for Large Margin Training of Continuous Density Hidden Markov Models
• Multiplicative Updates for Large Margin Classifiers , Lawrence K. Saul1
• NONNEGATIVE MATRIX FACTORIZATION FOR REAL TIME MUSICAL ANALYSIS AND SIGHT-READING EVALUATION
• Analysis and Extension of Spectral Methods for Nonlinear Dimensionality Reduction
• Multiplicative Updates for L1Regularized Linear and Logistic Regression
• Large margin classification in infinite neural networks
• Large Margin Hidden Markov Models for Automatic Speech Recognition
• EXPLORATORY ANALYSIS AND VISUALIZATION OF SPEECH AND MUSIC BY LOCALLY LINEAR EMBEDDING
• LEARNING HARMONIC RELATIONSHIPS IN DIGITAL AUDIO WITH DIRICHLET-BASED HIDDEN MARKOV MODELS
• Beyond Heuristics: Learning to Classify Vulnerabilities and Predict Exploits
• Machine Learning, 37, 7586 (1999) c 1999 Kluwer Academic Publishers, Boston. Manufactured in The Netherlands.
• Periodic Component Analysis: An Eigenvalue Method for Representing
• An Introduction to Nonlinear Dimensionality Reduction by Maximum Variance Unfolding
• Online Learning and Acoustic Feature Adaptation in Large Margin Hidden Markov Models
• arXiv:cmp-lg/9706007v19Jun1997 Aggregate and mixed-order Markov models for
• Nonlinear Dimensionality Reduction by Semidefinite Programming and Kernel Matrix Factorization
• Large-Margin Feature Adaptation for Automatic Speech Recognition
• COMPARISON OF LARGE MARGIN TRAINING TO OTHER DISCRIMINATIVE METHODS FOR PHONETIC RECOGNITION BY HIDDEN MARKOV MODELS
• Multiplicative Updates for Nonnegative Quadratic Programming
• Graph Laplacian Regularization for Large-Scale Semidefinite Programming
• LARGE MARGIN GAUSSIAN MIXTURE MODELING FOR PHONETIC CLASSIFICATION AND RECOGNITION
• Semisupervised alignment of manifolds Department of Electrical and
• Learning a kernel matrix for nonlinear dimensionality reduction Kilian Q. Weinberger kilianw@cis.upenn.edu
• A Generalized Linear Model for Principal Component Analysis of Binary Data
• Multiplicative updates for nonnegative quadratic programming in support vector machines
• Maximum Likelihood and Minimum Classification Error Factor Analysis for
• IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, VOL. 24, NO. 12, DECEMBER 2006 2273 IDES: An Internet Distance Estimation Service for
• LETTER Communicated by Radford Neal Attractor Dynamics in Feedforward Neural Networks
• Statistical Signal Processing with Nonnegativity Constraints Lawrence K. Saul1
• A PROBABILISTIC TOPIC MODEL FOR UNSUPERVISED LEARNING OF MUSICAL KEY-PROFILES
• Modeling Distances in Large-Scale Networks by Matrix Factorization
• SPARSE DECOMPOSITION OF MIXED AUDIO SIGNALS BY BASIS PURSUIT WITH AUTOREGRESSIVE MODELS
• MULTIBAND STATISTICAL LEARNING FOR F0 ESTIMATION IN SPEECH Fei Sha, J. Ashley Burgoyne, and Lawrence K. Saul
• Kernel Methods for Deep Learning Youngmin Cho and Lawrence K. Saul