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ICA
2012
Springer
12 years 12 days ago
A Canonical Correlation Analysis Based Method for Improving BSS of Two Related Data Sets
We consider an extension of ICA and BSS for separating mutually dependent and independent components from two related data sets. We propose a new method which first uses canonical...
Juha Karhunen, Tele Hao, Jarkko Ylipaavalniemi
BMCBI
2008
138views more  BMCBI 2008»
13 years 5 months ago
Novel implementation of conditional co-regulation by graph theory to derive co-expressed genes from microarray data
Background: Most existing transcriptional databases like Comprehensive Systems-Biology Database (CSB.DB) and Arabidopsis Microarray Database and Analysis Toolbox (GENEVESTIGATOR) ...
Arun Rawat, Georg J. Seifert, Youping Deng
EUROPAR
2004
Springer
13 years 10 months ago
Improving Data Cache Performance via Address Correlation: An Upper Bound Study
Address correlation is a technique that links the addresses that reference the same data values. Using a detailed source-code level analysis, a recent study [1] revealed that diffe...
Peng-fei Chuang, Resit Sendag, David J. Lilja
IPPS
2010
IEEE
13 years 2 months ago
Parallelization of DQMC simulation for strongly correlated electron systems
Abstract--Determinant Quantum Monte Carlo (DQMC) simulation has been widely used to reveal macroscopic properties of strong correlated materials. However, parallelization of the DQ...
Che-Rung Lee, I-Hsin Chung, Zhaojun Bai
ICML
2007
IEEE
14 years 5 months ago
Discriminant analysis in correlation similarity measure space
Correlation is one of the most widely used similarity measures in machine learning like Euclidean and Mahalanobis distances. However, compared with proposed numerous discriminant ...
Yong Ma, Shihong Lao, Erina Takikawa, Masato Kawad...