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GECCO
2005
Springer
186views Optimization» more  GECCO 2005»
9 years 9 months ago
Subproblem optimization by gene correlation with singular value decomposition
Several ways of using singular value decomposition (SVD), a linear algebra technique typically used for information retrieval, to decompose problems into subproblems are investiga...
Jacob G. Martin
BMCBI
2008
145views more  BMCBI 2008»
9 years 4 months ago
Mapping gene expression quantitative trait loci by singular value decomposition and independent component analysis
Background: The combination of gene expression profiling with linkage analysis has become a powerful paradigm for mapping gene expression quantitative trait loci (eQTL). To date, ...
Shameek Biswas, John D. Storey, Joshua M. Akey
BMCBI
2008
138views more  BMCBI 2008»
9 years 4 months ago
Combining transcriptional datasets using the generalized singular value decomposition
Background: Both microarrays and quantitative real-time PCR are convenient tools for studying the transcriptional levels of genes. The former is preferable for large scale studies...
Andreas W. Schreiber, Neil J. Shirley, Rachel A. B...
ICMCS
2005
IEEE
111views Multimedia» more  ICMCS 2005»
9 years 9 months ago
An Optimized Key-Frames Extraction Scheme Based on SVD and Correlation Minimization
In this paper an optimized and efficient technique for keyframes extraction of video sequences is proposed, which leads to selection of a meaningful set of video frames for each g...
Klimis S. Ntalianis, Stefanos D. Kollias
ICASSP
2008
IEEE
9 years 10 months ago
Blind channel estimation in DS-CDMA systems with unknown wide-sense stationary noise using generalized correlation decomposition
A novel blind subspace-based channel estimation technique is developed for direct-sequence code division multiple-access (DS-CDMA) systems operating in unknown wide-sense stationa...
Keyvan Zarifi, Alex B. Gershman
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