1547 search results - page 191 / 310 » Randomized Variable Elimination |
137
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JMLR
2012
13 years 3 months ago
2012
The expectation maximization (EM) algorithm is a popular algorithm for parameter estimation in models with hidden variables. However, the algorithm has several non-trivial limitat...
137
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CVPR
2012
IEEE
13 years 3 months ago
2012
IEEE
Top-down visual saliency facilities object localization by providing a discriminative representation of target objects and a probability map for reducing the search space. In this...
103
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ICCV
2007
IEEE
16 years 2 months ago
2007
IEEE
Particle filters encode a time-evolving probability density by maintaining a random sample from it. Level sets represent closed curves as zero crossings of functions of two variab...
159
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ICIP
2001
IEEE
16 years 2 months ago
2001
IEEE
The HMM (Hidden Markov Model) is a probabilistic model of the joint probability of a collection of random variables with both observations and states. The GMM (Gaussian Mixture Mo...
103
Voted
MICCAI
2008
Springer
16 years 1 months ago
2008
Springer
In this paper, a spatially constrained mixture model for the segmentation of MR brain images is presented. The novelty of this work is a new, edge preserving, smoothness prior whic...