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EP
1998
Springer
13 years 11 months ago
Spotting Topics with the Singular Value Decomposition
Abstract. The singular value decomposition, or SVD , has been studied in the past as a tool for detecting and understanding patterns in a collection of documents. We show how the m...
Charles K. Nicholas, Randall Dahlberg
IBPRIA
2007
Springer
13 years 11 months ago
Efficiently Downdating, Composing and Splitting Singular Value Decompositions Preserving the Mean Information
Three methods for the efficient downdating, composition and splitting of low rank singular value decompositions are proposed. They are formulated in a closed form, considering the ...
Javier Melenchón, Elisa Martínez
EACL
2006
ACL Anthology
13 years 8 months ago
Generalized Hebbian Algorithm for Incremental Singular Value Decomposition in Natural Language Processing
An algorithm based on the Generalized Hebbian Algorithm is described that allows the singular value decomposition of a dataset to be learned based on single observation pairs pres...
Genevieve Gorrell
IPPS
1999
IEEE
13 years 11 months ago
A Parallel Algorithm for Singular Value Decomposition as Applied to Failure Tolerant Manipulators
The system of equations that govern kinematically redundant manipulators is commonly solved by nding the singular value decomposition (SVD) of the corresponding Jacobian matrix. T...
Tracy D. Braun, Anthony A. Maciejewski, Howard Jay...
AMC
2005
195views more  AMC 2005»
13 years 7 months ago
A new symbolic computational approach to singular initial value problems in the second-order ordinary differential equations
This paper presents a new symbolic algorithm to compute the singular initial value problem of second-order ordinary differential equations using Adomian decomposition method. The ...
Onur Kiymaz, Seref Mirasyedioglu