1405 search results - page 49 / 281 » Anytime Algorithm for Feature Selection |
130
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ICCV
2003
IEEE
16 years 3 months ago
2003
IEEE
The problem of selecting a subset of relevant features in a potentially overwhelming quantity of data is classic and found in many branches of science. Examples in computer vision...
124
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KDD
2010
ACM
14 years 11 months ago
2010
ACM
The problem of graph classification has attracted great interest in the last decade. Current research on graph classification assumes the existence of large amounts of labeled tra...
147
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KDD
2010
ACM
15 years 5 months ago
2010
ACM
Feature selection is an important task in order to achieve better generalizability in high dimensional learning, and structure learning of Markov random fields (MRFs) can automat...
128
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CIKM
2011
Springer
14 years 1 months ago
2011
Springer
Traditional feature selection methods assume that the data are independent and identically distributed (i.i.d.). In real world, tremendous amounts of data are distributed in a net...
137
Voted
ICIP
2003
IEEE
16 years 3 months ago
2003
IEEE
We present algorithms for automatic feature selection for unsupervised structure discovery from video sequences. Feature selection in this scenario is hard because of the absence ...