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» Genetic Algorithms for Component Analysis
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JMLR
2002
160views more  JMLR 2002»
14 years 11 months ago
Kernel Independent Component Analysis
We present a class of algorithms for independent component analysis (ICA) which use contrast functions based on canonical correlations in a reproducing kernel Hilbert space. On th...
Francis R. Bach, Michael I. Jordan
ICASSP
2010
IEEE
14 years 6 months ago
Modified hierarchical clustering for sparse component analysis
The under-determined blind source separation (BSS) problem is usually solved using the sparse component analysis (SCA) technique. In SCA, the BSS is usually solved in two steps, w...
Nasser Mourad, James P. Reilly
ICA
2007
Springer
15 years 6 months ago
Robust Independent Component Analysis Using Quadratic Negentropy
We present a robust algorithm for independent component analysis that uses the sum of marginal quadratic negentropies as a dependence measure. It can handle arbitrary source densit...
Jaehyung Lee, Taesu Kim, Soo-Young Lee
CSB
2003
IEEE
15 years 5 months ago
Haplotype Motifs: An Algorithmic Approach to Locating Evolutionarily Conserved Patterns in Haploid Sequences
The promise of plentiful data on common human genetic variations has given hope that we will be able to uncover genetic factors behind common diseases that have proven difficult ...
Russell Schwartz
ESWA
2008
166views more  ESWA 2008»
14 years 11 months ago
Modular design to support green life-cycle engineering
The severe competition in the market has driven enterprises to produce a wider variety of products to meet consumers' needs. However, frequent variation of product specificat...
Hwai-En Tseng, Chien-Chen Chang, Jia-Diann Li