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» Estimating Likelihoods for Topic Models
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CVPR
2007
IEEE
16 years 2 months ago
Two-View Motion Segmentation from Linear Programming Relaxation
This paper studies the problem of multibody motion segmentation, which is an important, but challenging problem due to its well-known chicken-and-egg-type recursive character. We ...
Hongdong Li
77
Voted
ICIP
2000
IEEE
16 years 2 months ago
Normalized Training for HMM-Based Visual Speech Recognition
This paper presents an approach to estimating the parameters of continuous density HMMs for visual speech recognition. One of the key issues of image-based visual speech recogniti...
Yoshihiko Nankaku, Keiichi Tokuda, Tadashi Kitamur...
95
Voted
ICML
2003
IEEE
16 years 1 months ago
Optimization with EM and Expectation-Conjugate-Gradient
We show a close relationship between the Expectation - Maximization (EM) algorithm and direct optimization algorithms such as gradientbased methods for parameter learning. We iden...
Ruslan Salakhutdinov, Sam T. Roweis, Zoubin Ghahra...
90
Voted
CORR
2010
Springer
103views Education» more  CORR 2010»
15 years 25 days ago
Asymptotic Learning Curve and Renormalizable Condition in Statistical Learning Theory
Bayes statistics and statistical physics have the common mathematical structure, where the log likelihood function corresponds to the random Hamiltonian. Recently, it was discovere...
Sumio Watanabe
94
Voted
ICASSP
2011
IEEE
14 years 4 months ago
Practical limits in RSS-based positioning
Received signal strength (RSS) based source localization papers often ignore the practical effects of range limits in the measurements. In many devices, this results in some senso...
Richard K. Martin, Amanda Sue King, Ryan W. Thomas...