Graphical models and automatic speech recognition (2003)

Cached

Download Links

by Jeffrey A. Bilmes
Venue:Mathematical Foundations of Speech and Language Processing
Citations:49 - 10 self

Active Bibliography

Mitsubishi Electric Research Laboratories – Http Www Merl, Ramesh Raskar, Ramesh Raskar, Remo Ziegler, Remo Ziegler, Thomas Willwacher, Thomas Willwacher - 2002
393 Dynamic Bayesian Networks: Representation, Inference and Learning – Kevin Patrick Murphy - 2002
19 Minimum Probability of Error Image Retrieval – Nuno Vasconcelos
21 What HMMs can do – Jeff Bilmes - 2002
Bioinformatics – Vol No Pages - 2003
1 State Discovery for Autonomous Learning – Yuri A. Ivanov, Yuri A. Ivanov, Bruce M. Blumberg, Yuri A. Ivanov - 2002
3 Fast Factored Density Estimation and Compression with Bayesian Networks – Scott Davies, John Lafferty - 2002
24 Neural networks – Michael I. Jordan, Christopher M. Bishop - 1996
5 Mathematical Programming Approaches To Machine Learning And Data Mining – Paul S. Bradley - 1998
9 Spectral Features for Automatic Text-Independent Speaker Recognition – Tomi Kinnunen - 2003
11 Advances in Algorithms for Inference and Learning in Complex Probability Models for Vision – Brendan J. Frey, Nebojsa Jojic - 2002
437 Detecting faces in images: A survey – Ming-hsuan Yang, David J. Kriegman, Narendra Ahuja - 2002
53 Tutorial on Variational Approximation Methods – Tommi S. Jaakkola - 2000
4 How to Implement A Priori Information: A Statistical Mechanics Approach – Jörg C. Lemm - 1998
16 Learning with Mixtures of Trees – Marina Meila-Predoviciu - 1999
7 Prior Information and Generalized Questions – Jörg C. Lemm - 1996
1 the State Based Mixture of Expert HMM with Applications to the Recognition of Spontaneous Speech – Andreas Tuerk - 2001
1 Divide and Conquer: Pattern Recognition using Mixtures of Experts – Steve Waterhouse, Steve Waterhouse - 1997
40 Mathematical Programming for Data Mining: Formulations and Challenges – P. S. Bradley, Usama M. Fayyad, O. L. Mangasarian - 1998