509 search results - page 54 / 102 » Using Learning for Approximation in Stochastic Processes |
140
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CIMAGING
2009
15 years 3 months ago
2009
Owing to the stochastic nature of discrete processes such as photon counts in imaging, real-world data measurements often exhibit heteroscedastic behavior. In particular, time ser...
122
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ECCV
2004
Springer
16 years 4 months ago
2004
Springer
We present a vision based, adaptive, decision theoretic model of human facial displays in interactions. The model is a partially observable Markov decision process, or POMDP. A POM...
159
Voted
SDM
2009
SIAM
15 years 11 months ago
2009
SIAM
Many real-world applications call for learning predictive relationships from multi-modal data. In particular, in multi-media and web applications, given a dataset of images and th...
139
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IR
2010
15 years 28 days ago
2010
Recently direct optimization of information retrieval (IR) measures becomes a new trend in learning to rank. Several methods have been proposed and the effectiveness of them has ...
127
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ISM
2008
IEEE
15 years 8 months ago
2008
IEEE
Many multimedia applications rely on the computation of logarithms, for example, when estimating log-likelihoods for Gaussian Mixture Models. Knowing of the demand to compute loga...