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» Optimal Approximation of Signal Priors
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ECCV
2008
Springer
16 years 5 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
121
Voted
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
99
Voted
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...
128
Voted
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...
153
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JMLR
2010
119views more  JMLR 2010»
14 years 10 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