5046 search results - page 197 / 1010 » Feature Selection from Huge Feature Sets |
244
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ICASSP
2010
IEEE
15 years 5 months ago
2010
IEEE
In recent years, sparse representation originating from signal compressed sensing theory has attracted increasing interest in computer vision research community. However, to our b...
186
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ACCV
2007
Springer
15 years 10 months ago
2007
Springer
In dynamic scenes with occluding objects many features need to be tracked for a robust real-time camera pose estimation. An open problem is that tracking too many features has a ne...
171
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CORR
2002
Springer
15 years 6 months ago
2002
Springer
A large body of research in machine learning is concerned with supervised learning from examples. The examples are typically represented as vectors in a multi-dimensional feature ...
178
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ICALT
2010
IEEE
15 years 7 months ago
2010
IEEE
In this study I use statistical Natural Language Processing and adapted Controlled Language methods to preprocess individual documents before they are used as source documents for ...
229
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JMLR
2012
13 years 9 months ago
2012
While determining model complexity is an important problem in machine learning, many feature learning algorithms rely on cross-validation to choose an optimal number of features, ...