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DSP
2007
13 years 7 months ago
Variational and stochastic inference for Bayesian source separation
We tackle the general linear instantaneous model (possibly underdetermined and noisy) where we model the source prior with a Student t distribution. The conjugate-exponential char...
Ali Taylan Cemgil, Cédric Févotte, S...
ICANN
2010
Springer
13 years 8 months ago
Variational Bayesian Image Super-Resolution with GPU Acceleration
With the term super-resolution we refer to the problem of reconstructing an image of higher resolution than that of unregistered and degraded observations. Typically, the reconstru...
Giannis K. Chantas
ADAC
2010
105views more  ADAC 2010»
13 years 7 months ago
Inference for robust canonical variate analysis
We consider the problem of optimally separating two multivariate populations. Robust linear discriminant rules can be obtained by replacing the empirical means and covariance in th...
Stefan Van Aelst, Gert Willems
ACL
2009
13 years 5 months ago
Variational Inference for Grammar Induction with Prior Knowledge
Variational EM has become a popular technique in probabilistic NLP with hidden variables. Commonly, for computational tractability, we make strong independence assumptions, such a...
Shay B. Cohen, Noah A. Smith
ICASSP
2010
IEEE
13 years 7 months ago
Fast total variation image restoration with parameter estimation using bayesian inference
In this paper we propose two fast Total Variation (TV) based algorithms for image restoration by utilizing variational posterior distribution approximation. The unknown image and ...
Bruno Amizic, S. Derin Babacan, K. Michael Ng, Raf...