305 search results - page 8 / 61 » Rate-Distortion via Markov Chain Monte Carlo |
UAI
2001
14 years 11 months ago
2001
We present an iterative Markov chain Monte Carlo algorithm for computing reference priors and minimax risk for general parametric families. Our approach uses MCMC techniques based...
AAAI
2004
14 years 11 months ago
2004
Based on the probabilistic reformulation of principal component analysis (PCA), we consider the problem of determining the number of principal components as a model selection prob...
84
Voted
ICPR
2006
IEEE
15 years 10 months ago
2006
IEEE
In this paper, we present a probabilistic framework for automatic detection and tracking of objects. We address the data association problem by formulating the visual tracking as ...
94
Voted
ICML
2008
IEEE
15 years 10 months ago
2008
IEEE
Low-rank matrix approximation methods provide one of the simplest and most effective approaches to collaborative filtering. Such models are usually fitted to data by finding a MAP...
CAV
2009
Springer
15 years 10 months ago
2009
Springer
We describe a Markov chain Monte Carlo (MCMC)-based algorithm for sampling solutions to mixed Boolean/integer constraint problems. The focus of this work differs in two points from...