201 search results - page 14 / 41 » Slice sampling mixture models |
102
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CORR
2011
Springer
14 years 4 months ago
2011
Springer
A novel framework of compressed sensing, namely statistical compressed sensing (SCS), that aims at efficiently sampling a collection of signals that follow a statistical distribu...
105
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CVPR
2009
IEEE
15 years 4 months ago
2009
IEEE
Illuminant estimation from shadows typically relies on accurate segmentation of the shadows and knowledge of exact 3D geometry, while shadow estimation is difficult in the presen...
76
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ECML
2007
Springer
15 years 3 months ago
2007
Springer
We extend our recent work on relevant subtask learning, a new variant of multitask learning where the goal is to learn a good classifier for a task-of-interest with too few train...
NIPS
2004
14 years 11 months ago
2004
We present an algorithm to overcome the local maxima problem in estimating the parameters of mixture models. It combines existing approaches from both EM and a robust fitting algo...
ICML
2007
IEEE
15 years 10 months ago
2007
IEEE
We consider the problem of learning density mixture models for classification. Traditional learning of mixtures for density estimation focuses on models that correctly represent t...