1364 search results - page 247 / 273 » Sampling Methods for Unsupervised Learning |
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JMLR
2008
14 years 11 months ago
2008
We consider the problem of learning classifiers in structured domains, where some objects have a subset of features that are inherently absent due to complex relationships between...
ICCV
2001
IEEE
16 years 29 days ago
2001
IEEE
Principal Component Analysis (PCA) has been widely used for the representation of shape, appearance, and motion. One drawback of typical PCA methods is that they are least squares...
ECCV
2004
Springer
16 years 28 days ago
2004
Springer
Visual tracking, in essence, deals with non-stationary data streams that change over time. While most existing algorithms are able to track objects well in controlled environments,...
92
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BIBE
2007
IEEE
15 years 5 months ago
2007
IEEE
—High-throughput data such as microarrays make it possible to investigate the molecular-level mechanism of cancer more efficiently. Computational methods boost the microarray ana...
CEC
2007
IEEE
15 years 3 months ago
2007
IEEE
Abstract-- Hypernetworks consist of a large number of hyperedges that represent higher-order features sampled from training patterns. Evolutionary algorithms have been used as a me...