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94
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ICIP
2001
IEEE
16 years 2 months ago
Bayesian high-resolution reconstruction of low-resolution compressed video
A method for simultaneously estimating the high-resolution frames and the corresponding motion field from a compressed low-resolution video sequence is presented. The algorithm in...
Rafael Molina, Aggelos K. Katsaggelos, Javier Mate...
ICASSP
2008
IEEE
15 years 7 months ago
Bayesian extensions to non-negative matrix factorisation for audio signal modelling
We describe the underlying probabilistic generative signal model of non-negative matrix factorisation (NMF) and propose a realistic conjugate priors on the matrices to be estimate...
Tuomas Virtanen, Ali Taylan Cemgil, Simon J. Godsi...
139
Voted
EMMCVPR
1999
Springer
15 years 5 months ago
Adaptive Bayesian Contour Estimation: A Vector Space Representation Approach
Abstract. We propose a vector representation approach to contour estimation from noisy data. Images are modeled as random elds composed of a set of homogeneous regions contours (bo...
José M. B. Dias
98
Voted
CG
2008
Springer
15 years 2 months ago
Whole-History Rating: A Bayesian Rating System for Players of Time-Varying Strength
Whole-History Rating (WHR) is a new method to estimate the time-varying strengths of players involved in paired comparisons. Like many variations of the Elo rating system, the whol...
Rémi Coulom
IJCAI
2007
15 years 2 months ago
Bayesian Inverse Reinforcement Learning
Inverse Reinforcement Learning (IRL) is the problem of learning the reward function underlying a Markov Decision Process given the dynamics of the system and the behaviour of an e...
Deepak Ramachandran, Eyal Amir