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» Applications of Independent Component Analysis
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CORR
2007
Springer
198views Education» more  CORR 2007»
13 years 8 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
CORR
2007
Springer
167views Education» more  CORR 2007»
13 years 8 months ago
Optimal Solutions for Sparse Principal Component Analysis
Given a sample covariance matrix, we examine the problem of maximizing the variance explained by a linear combination of the input variables while constraining the number of nonze...
Alexandre d'Aspremont, Francis R. Bach, Laurent El...
NN
2008
Springer
201views Neural Networks» more  NN 2008»
13 years 8 months ago
Learning representations for object classification using multi-stage optimal component analysis
Learning data representations is a fundamental challenge in modeling neural processes and plays an important role in applications such as object recognition. In multi-stage Optima...
Yiming Wu, Xiuwen Liu, Washington Mio
IEE
2011
13 years 3 months ago
Using autonomous components to improve runtime qualities of software
: In the development of software systems, quality properties should be considered along with the development process so that the qualities of software systems can be inferred and p...
Wenpin Jiao
SEFM
2003
IEEE
14 years 1 months ago
Component-Based Design and Analysis: A Case Study
In this paper, we introduce a component-based design methodology and present a practical analysis approach that makes use of the modular nature of component-based designs to allev...
Yan Jin, Charles Lakos, Robert Esser