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» Non-local Regularization of Inverse Problems
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ICIP
2009
IEEE
13 years 5 months ago
Joint deconvolution and demosaicing
We present a new method to jointly perform deblurring and colordemosaicing of RGB images. Our method is derived following an inverse problem approach in a MAP framework. To avoid ...
Ferréol Soulez, Eric Thiébaut
FUIN
2010
89views more  FUIN 2010»
13 years 6 months ago
Computing Maximal Error-detecting Capabilities and Distances of Regular Languages
Abstract. A (combinatorial) channel consists of pairs of words representing all possible inputoutput channel situations. In a past paper, we formalized the intuitive concept of “...
Stavros Konstantinidis, Pedro V. Silva
UAI
2008
13 years 9 months ago
Projected Subgradient Methods for Learning Sparse Gaussians
Gaussian Markov random fields (GMRFs) are useful in a broad range of applications. In this paper we tackle the problem of learning a sparse GMRF in a high-dimensional space. Our a...
John Duchi, Stephen Gould, Daphne Koller
CORR
2010
Springer
228views Education» more  CORR 2010»
13 years 6 months ago
Sparse Inverse Covariance Selection via Alternating Linearization Methods
Gaussian graphical models are of great interest in statistical learning. Because the conditional independencies between different nodes correspond to zero entries in the inverse c...
Katya Scheinberg, Shiqian Ma, Donald Goldfarb
COMPUTING
2007
122views more  COMPUTING 2007»
13 years 7 months ago
Error estimation for Bregman iterations and inverse scale space methods in image restoration
In this paper we consider error estimation for image restoration problems based on generalized Bregman distances. This error estimation technique has been used to derive convergen...
Martin Burger, E. Resmerita, Lin He