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» First-order probabilistic inference
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CISS
2010
IEEE
13 years 1 months ago
Turbo reconstruction of structured sparse signals
—This paper considers the reconstruction of structured-sparse signals from noisy linear observations. In particular, the support of the signal coefficients is parameterized by h...
Philip Schniter
ALT
2006
Springer
14 years 6 months ago
Probabilistic Generalization of Simple Grammars and Its Application to Reinforcement Learning
Abstract. Recently, some non-regular subclasses of context-free grammars have been found to be efficiently learnable from positive data. In order to use these efficient algorithms ...
Takeshi Shibata, Ryo Yoshinaka, Takashi Chikayama
ENTCS
2007
89views more  ENTCS 2007»
13 years 9 months ago
Weak Probabilistic Anonymity
Abstract. Anonymity means that the identity of the user performing a certain action is maintained secret. The protocols for ensuring anonymity often use random mechanisms which can...
Yuxin Deng, Catuscia Palamidessi, Jun Pang
ECCV
2008
Springer
14 years 11 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
SSPR
2004
Springer
14 years 3 months ago
An Optimal Probabilistic Graphical Model for Point Set Matching
We present a probabilistic graphical model for point set matching. By using a result about the redundancy of the pairwise distances in a point set, we represent the binary relation...
Tibério S. Caetano, Terry Caelli, Dante Aug...