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» Optimal Approximation of Signal Priors
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ECCV
2008
Springer
16 years 6 months ago
Efficiently Learning Random Fields for Stereo Vision with Sparse Message Passing
As richer models for stereo vision are constructed, there is a growing interest in learning model parameters. To estimate parameters in Markov Random Field (MRF) based stereo formu...
Jerod J. Weinman, Lam Tran, Christopher J. Pal
ICASSP
2011
IEEE
14 years 7 months ago
Arccosine kernels: Acoustic modeling with infinite neural networks
Neural networks are a useful alternative to Gaussian mixture models for acoustic modeling; however, training multilayer networks involves a difficult, nonconvex optimization that...
Chih-Chieh Cheng, Brian Kingsbury
ICASSP
2011
IEEE
14 years 7 months ago
Robust binary least squares: Relaxations and algorithms
Finding the least squares (LS) solution s to a system of linear equations Hs = y where H, y are given and s is a vector of binary variables, is a well known NP-hard problem. In th...
Efthymios Tsakonas, Joakim Jalden, Björn E. O...
ICASSP
2011
IEEE
14 years 7 months ago
Computing the nonnegative 3-way tensor factorization using Tikhonov regularization
This paper deals with the minimum polyadic decomposition of a nonnegative three-way array. The main advantage of the nonnegativity constraint is that the approximation problem bec...
Jean-Philip Royer, Pierre Comon, Nadège Thi...
JMLR
2010
119views more  JMLR 2010»
14 years 11 months ago
A Convergent Online Single Time Scale Actor Critic Algorithm
Actor-Critic based approaches were among the first to address reinforcement learning in a general setting. Recently, these algorithms have gained renewed interest due to their gen...
Dotan Di Castro, Ron Meir