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GECCO
2005
Springer
186views Optimization» more  GECCO 2005»
14 years 28 days 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
ECCV
2000
Springer
14 years 9 months ago
Estimating the Jacobian of the Singular Value Decomposition: Theory and Applications
The Singular Value Decomposition (SVD) of a matrix is a linear algebra tool that has been successfully applied to a wide variety of domains. The present paper is concerned with the...
Manolis I. A. Lourakis, Théodore Papadopoul...
ICDM
2008
IEEE
172views Data Mining» more  ICDM 2008»
14 years 1 months 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
ICAC
2007
IEEE
14 years 1 months ago
Adaptive Multi-levels Dictionaries and Singular Value Decomposition Techniques for Autonomic Problem Determination
An autonomic problem determination system can adapt to changing environments, react to existing or new error condition and predict possible problems. In this report, we propose su...
Hoi Chan, Thomas Kwok
ICIP
2003
IEEE
14 years 9 months ago
Quaternion matrix singular value decomposition and its applications for color image processing
In this paper, we first discuss the singular value decomposition (SVD) of a quaternion matrix and propose an algorithm to calculate the SVD of a quaternion matrix using its equiva...
Soo-Chang Pei, Ja-Han Chang, Jian-Jiun Ding