5046 search results - page 23 / 1010 » Feature Selection from Huge Feature Sets |
122
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ALGORITHMICA
2006
15 years 2 months ago
2006
Classification is a key problem in machine learning/data mining. Algorithms for classification have the ability to predict the class of a new instance after having been trained on...
115
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TIP
2011
14 years 8 months ago
2011
—This paper introduces the new color face recognition (FR) method that makes effective use of boosting learning as color-component feature selection framework. The proposed boost...
106
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WEBI
2009
Springer
15 years 8 months ago
2009
Springer
Filtering feature selection method (filtering method, for short) is a well-known feature selection strategy in pattern recognition and data mining. Filtering method outperforms ot...
121
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INFORMS
1998
15 years 1 months ago
1998
The problem of discriminating between two nite point sets in n-dimensional feature space by a separating plane that utilizes as few of the features as possible, is formulated as a...
126
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AAAI
2008
15 years 4 months ago
2008
In multi-robot settings, activity recognition allows a robot to respond intelligently to the other robots in its environment. Conditional random fields are temporal models that ar...