273 search results - page 16 / 55 » Learning the Structure of Deep Sparse Graphical Models |
117
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ICIP
2008
IEEE
16 years 3 months ago
2008
IEEE
In this paper, we derive a data mining framework to analyze 3D features on human faces. The framework leverages kernel density estimators, genetic algorithm and an information com...
138
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TCBB
2008
15 years 1 months ago
2008
Abstract-- Many statistical measures and algorithmic techniques have been proposed for studying residue coupling in protein families. Generally speaking, two residue positions are ...
184
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AIM
2011
14 years 5 months ago
2011
Transfer learning aims to solve new learning problems by extracting and making use of the common knowledge found in related domains. A key element of transfer learning is to ident...
143
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CORR
2010
Springer
15 years 5 days ago
2010
Springer
In a variety of disciplines such as social sciences, psychology, medicine and economics, the recorded data are considered to be noisy measurements of latent variables connected by...
162
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IWCM
2004
Springer
15 years 7 months ago
2004
Springer
We present a probabilistic framework for component-based automatic detection and tracking of objects in video. We represent objects as spatio-temporal two-layer graphical models, w...