311 search results - page 19 / 63 » Learning first-order probabilistic models with combining rul... |
AAAI
2012
13 years 2 months ago
2012
Many noise models do not faithfully reflect the noise processes introduced during data collection in many real-world applications. In particular, we argue that a type of noise re...
196
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GCB
2010
Springer
14 years 9 months ago
2010
Springer
: Despite recent advances in DNA chip technology current microarray gene expression studies are still affected by high noise levels, small sample sizes and large numbers of uninfor...
130
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CVPR
2009
IEEE
16 years 6 months ago
2009
IEEE
We propose a novel probabilistic framework for learning
visual models of 3D object categories by combining appearance
information and geometric constraints. Objects are
represen...
AUSDM
2007
Springer
15 years 6 months ago
2007
Springer
Recommender systems are important to help users select relevant and personalised information over massive amounts of data available. We propose an unified framework called Prefer...
120
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PAMI
2011
14 years 2 months ago
2011
—We present a discriminative part-based approach for human action recognition from video sequences using motion features. Our model is based on the recently proposed hidden condi...