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» Approximating Component Selection
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IJON
2006
99views more  IJON 2006»
13 years 7 months ago
Feature selection in independent component subspace for microarray data classification
A novel method for microarray data classification is proposed in this letter. In this scheme, the sequential floating forward selection (SFFS) technique is used to select the inde...
Chun-Hou Zheng, De-Shuang Huang, Li Shang
AIPR
2003
IEEE
14 years 21 days ago
Band Selection Using Independent Component Analysis for Hyperspectral Image Processing
Although hyperspectral images provide abundant information about objects, their high dimensionality also substantially increases computational burden. Dimensionality reduction off...
Hongtao Du, Hairong Qi, Xiaoling Wang, Rajeev Rama...
CORR
2007
Springer
198views Education» more  CORR 2007»
13 years 7 months ago
Clustering and Feature Selection using Sparse Principal Component Analysis
In this paper, we study the application of sparse principal component analysis (PCA) to clustering and feature selection problems. Sparse PCA seeks sparse factors, or linear combi...
Ronny Luss, Alexandre d'Aspremont
ICRA
2008
IEEE
170views Robotics» more  ICRA 2008»
14 years 1 months ago
Human detection using iterative feature selection and logistic principal component analysis
— We present a fast feature selection algorithm suitable for object detection applications where the image being tested must be scanned repeatedly to detected the object of inter...
Wael Abd-Almageed, Larry S. Davis
CBSE
2009
Springer
14 years 2 months ago
Selecting Fault Tolerant Styles for Third-Party Components with Model Checking Support
To build highly available or reliable applications out of unreliable third-party components, some software-implemented fault-tolerant mechanisms are introduced to gracefully deal w...
Junguo Li, Xiangping Chen, Gang Huang, Hong Mei, F...