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» Generalized Singular Value Thresholding
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IPPS
2009
IEEE
14 years 13 days ago
Singular value decomposition on GPU using CUDA
Linear algebra algorithms are fundamental to many computing applications. Modern GPUs are suited for many general purpose processing tasks and have emerged as inexpensive high per...
Sheetal Lahabar, P. J. Narayanan
ICDM
2008
IEEE
172views Data Mining» more  ICDM 2008»
14 years 7 days ago
Latent Dirichlet Allocation and Singular Value Decomposition Based Multi-document Summarization
Multi-Document Summarization deals with computing a summary for a set of related articles such that they give the user a general view about the events. One of the objectives is th...
Rachit Arora, Balaraman Ravindran
GPB
2010
231views Solid Modeling» more  GPB 2010»
13 years 3 months ago
Mining Gene Expression Profiles: An Integrated Implementation of Kernel Principal Component Analysis and Singular Value Decompos
The detection of genes that show similar profiles under different experimental conditions is often an initial step in inferring the biological significance of such genes. Visualiz...
Ferran Reverter, Esteban Vegas, Pedro Sánch...
CIKM
2006
Springer
13 years 9 months ago
Eigen-trend: trend analysis in the blogosphere based on singular value decompositions
The blogosphere--the totality of blog-related Web sites-has become a great source of trend analysis in areas such as product survey, customer relationship, and marketing. Existing...
Yun Chi, Belle L. Tseng, Jun'ichi Tatemura
GECCO
2005
Springer
186views Optimization» more  GECCO 2005»
13 years 11 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