554 search results - page 96 / 111 » Variable selection using neural-network models |
118
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BMCBI
2010
14 years 9 months ago
2010
Background: Microarray technology is a powerful and widely accepted experimental technique in molecular biology that allows studying genome wide transcriptional responses. However...
116
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CVPR
2009
IEEE
16 years 4 months ago
2009
IEEE
Active learning strategies can be useful when manual labeling
effort is scarce, as they select the most informative
examples to be annotated first. However, for visual category
...
TDP
2008
14 years 9 months ago
2008
The mean vector and covariance matrix are sufficient statistics when the un derlying distribution is multivariate normal. Many type of statistical analyses used in practice rely on...
107
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CVPR
2011
IEEE
14 years 5 months ago
2011
IEEE
In this paper we explore the idea of using high-level semantic concepts, also called attributes, to represent human actions from videos and argue that attributes enable the constr...
77
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CVPR
2010
IEEE
15 years 3 months ago
2010
IEEE
We present a latent hierarchical structural learning method for object detection. An object is represented by a mixture of hierarchical tree models where the nodes represent objec...