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KDD
2004
ACM
302views Data Mining» more  KDD 2004»
14 years 8 months ago
Redundancy based feature selection for microarray data
In gene expression microarray data analysis, selecting a small number of discriminative genes from thousands of genes is an important problem for accurate classification of diseas...
Lei Yu, Huan Liu
ICDE
2007
IEEE
182views Database» more  ICDE 2007»
14 years 8 months ago
Discriminative Frequent Pattern Analysis for Effective Classification
The application of frequent patterns in classification appeared in sporadic studies and achieved initial success in the classification of relational data, text documents and graph...
Hong Cheng, Xifeng Yan, Jiawei Han, Chih-Wei Hsu
TSP
2008
187views more  TSP 2008»
13 years 7 months ago
Invariant Description and Retrieval of Planar Shapes Using Radon Composite Features
This paper proposes a novel feature-based invariant descriptor termed Radon composite features (RCFs) for planar shapes. Instead of analyzing shapes directly in the spatial domain,...
Yun Wen Chen, Yan Qiu Chen
CAIP
2001
Springer
120views Image Analysis» more  CAIP 2001»
14 years 13 hour ago
Texture Feature Extraction and Classification
Texture analysis plays an increasingly important role in computer vision. Since the textural properties of images appear to carry useful information for discrimination purposes, i...
Brijesh Verma, Siddhivinayak Kulkarni
ICPR
2006
IEEE
14 years 1 months ago
Unsupervised Discriminant Projection Analysis for Feature Extraction
This paper develops an unsupervised discriminant projection (UDP) technique for feature extraction. UDP takes the local and non-local information into account, seeking to find a p...
Jian Yang, David Zhang, Zhong Jin, Jing-Yu Yang