5802 search results - page 453 / 1161 » Parallelizing Feature Selection |
131
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CIVR
2003
Springer
15 years 10 months ago
2003
Springer
Feature selection for video retrieval applications is impractical with existing techniques, because of their high time complexity and their failure on the relatively sparse trainin...
161
Voted
CBSE
2010
Springer
15 years 10 months ago
2010
Springer
Abstract. The usage of components brings significant help in development of real-time embedded systems. There have been a number of component frameworks developed for this purpose...
162
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JCP
2008
15 years 5 months ago
2008
kernel canonical correlation analysis (KCCA) is a recently addressed supervised machine learning methods, which shows to be a powerful approach of extracting nonlinear features for...
156
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CIVR
2010
Springer
15 years 3 months ago
2010
Springer
Human motion can be seen as a type of texture pattern. In this paper, we adopt the ideas of spatiotemporal analysis and the use of local features for motion description. movements...
188
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HAIS
2010
Springer
15 years 3 months ago
2010
Springer
In this article, we describe a feature selection algorithm which can automatically find relevant features for multiple instance learning. Multiple instance learning is considered a...