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» Feature Selection for Clustering
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JIPS
2007
103views more  JIPS 2007»
15 years 4 months ago
Feature Extraction of Concepts by Independent Component Analysis
: Semantic clustering is important to various fields in the modern information society. In this work we applied the Independent Component Analysis method to the extraction of the f...
Altangerel Chagnaa, Cheolyoung Ock, Chang Beom Lee...
ICDM
2008
IEEE
160views Data Mining» more  ICDM 2008»
15 years 10 months ago
Direct Zero-Norm Optimization for Feature Selection
Zero-norm, defined as the number of non-zero elements in a vector, is an ideal quantity for feature selection. However, minimization of zero-norm is generally regarded as a combi...
Kaizhu Huang, Irwin King, Michael R. Lyu
INCDM
2010
Springer
166views Data Mining» more  INCDM 2010»
15 years 2 months ago
Comparison of Redundancy and Relevance Measures for Feature Selection in Tissue Classification of CT Images
In this paper we report on a study on feature selection within the minimum
Benjamin Auffarth, Maite López, Jesú...
WEBI
2009
Springer
15 years 11 months ago
Specialized Review Selection for Feature Rating Estimation
—On participatory Websites, users provide opinions about products, with both overall ratings and textual reviews. In this paper, we propose an approach to accurately estimate fea...
Chong Long, Jie Zhang, Minlie Huang, Xiaoyan Zhu, ...
VMV
2001
119views Visualization» more  VMV 2001»
15 years 5 months ago
Improving Feature Tracking by Robust Points of interest Selection
This paper deals with robust point features selection for tracking. The aim is to identify unreliable features since the first frame so to track them in all the sequence. We exten...
Chafik Kermad, Christophe Collewet