1018 search results - page 167 / 204 » Learning Probabilistic Models of Contours |
JMLR
2010
14 years 4 months ago
2010
Principal component analysis (PCA) is a classical data analysis technique that finds linear transformations of data that retain the maximal amount of variance. We study a case whe...
102
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JMLR
2010
14 years 4 months ago
2010
We describe a novel inference algorithm for sparse Bayesian PCA with a zero-norm prior on the model parameters. Bayesian inference is very challenging in probabilistic models of t...
AAAI
2010
14 years 11 months ago
2010
Recent research has shown that surprisingly rich models of human behavior can be learned from GPS (positional) data. However, most research to date has concentrated on modeling si...
124
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CVPR
2009
IEEE
16 years 5 months ago
2009
IEEE
We propose an approach to restore severely degraded
document images using a probabilistic context model. Un-
like traditional approaches that use previously learned
prior models...
PKDD
2010
Springer
14 years 8 months ago
2010
Springer
Current knowledge bases suffer from either low coverage or low accuracy. The underlying hypothesis of this work is that user feedback can greatly improve the quality of automatica...