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SIAMJO
2010
246views more  SIAMJO 2010»
13 years 3 months ago
A Singular Value Thresholding Algorithm for Matrix Completion
This paper introduces a novel algorithm to approximate the matrix with minimum nuclear norm among all matrices obeying a set of convex constraints. This problem may be understood a...
Jian-Feng Cai, Emmanuel J. Candès, Zuowei S...
SIAMSC
2008
187views more  SIAMSC 2008»
13 years 4 months ago
The Generalized Singular Value Decomposition and the Method of Particular Solutions
A powerful method for solving planar eigenvalue problems is the Method of Particular Solutions (MPS), which is also well known under the name "point matching method". In ...
Timo Betcke
IJCSA
2006
197views more  IJCSA 2006»
13 years 4 months ago
Applying SVD on Generalized Item-based Filtering
In this paper we examine the use of a matrix factorization technique called Singular Value Decomposition (SVD) along with demographic information
Manolis G. Vozalis, Konstantinos G. Margaritis
IJCNN
2007
IEEE
13 years 11 months ago
Sparse Distributed Representations for Words with Thresholded Independent Component Analysis
— We show that independent component analysis (ICA) can be used to find distributed representations for words that can be further processed by thresholding to produce sparse rep...
Jaakko J. Väyrynen, Lasse Lindqvist, Timo Hon...
EACL
2006
ACL Anthology
13 years 6 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