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SAC
2006
ACM
15 years 5 months ago
2006
ACM
In this paper we propose PARTfs which adopts a supervised machine learning algorithm, namely partial decision trees, as a method for feature subset selection. In particular, it is...
EUROCAST
2003
Springer
15 years 5 months ago
2003
Springer
This paper considers the problem of texture description and feature selection for the classification of tissues in 3D Magnetic Resonance data. Joint statistical measures like grey...
ALGORITHMICA
2006
14 years 12 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...
TIP
2011
14 years 6 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...
WEBI
2009
Springer
15 years 6 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...