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ICIP
2007
IEEE
16 years 2 months ago
Iterative Feature Selection for Color Texture Classification
In this paper, we describe a new approach for color texture classification by use of Haralick features extracted from color co-occurrence matrices. As the color of each pixel can ...
Alice Porebski, Nicolas Vandenbroucke, Ludovic Mac...
AI
2009
Springer
15 years 7 months ago
An Empirical Study of Category Skew on Feature Selection for Text Categorization
In this paper, we present an empirical comparison of the effects of category skew on six feature selection methods. The methods were evaluated on 36 datasets generated from the 20...
Mondelle Simeon, Robert J. Hilderman
IJCNN
2008
IEEE
15 years 7 months ago
Feature selection based on kernel discriminant analysis for multi-class problems
— We propose a feature selection criterion based on kernel discriminant analysis (KDA) for an -class problem, which finds eigenvectors on which the projected class data are loca...
Tsuneyoshi Ishii, Shigeo Abe
JMLR
2010
161views more  JMLR 2010»
14 years 7 months ago
Feature Selection for Text Classification Based on Gini Coefficient of Inequality
A number of feature selection mechanisms have been explored in text categorization, among which mutual information, information gain and chi-square are considered most effective. ...
Sanasam Ranbir Singh, Hema A. Murthy, Timothy A. G...
100
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SPLC
2008
15 years 2 months ago
Filtered Cartesian Flattening: An Approximation Technique for Optimally Selecting Features while Adhering to Resource Constraint
Software Product-lines (SPLs) use modular software components that can be reconfigured into different variants for different requirements sets. Feature modeling is a common method...
Jules White, B. Doughtery, Douglas C. Schmidt