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COLING
2008
15 years 1 months ago
Enhancing Multilingual Latent Semantic Analysis with Term Alignment Information
Latent Semantic Analysis (LSA) is based on the Singular Value Decomposition (SVD) of a term-by-document matrix for identifying relationships among terms and documents from cooccur...
Brett W. Bader, Peter A. Chew
CORR
2011
Springer
247views Education» more  CORR 2011»
14 years 3 months ago
The Extraordinary SVD
: We review the singular value decomposition (SVD) and discuss some lesser-known applications of it that we find particularly interesting. We also discuss generalizations of the S...
Carla D. Martin, Mason A. Porter
SCL
2010
141views more  SCL 2010»
14 years 10 months ago
On the computation of structured singular values and pseudospectra
Structured singular values and pseudospectra play an important role in assessing the properties of a linear system under structured perturbations. This paper discusses computation...
Michael Karow, Effrosini Kokiopoulou, Daniel Kress...
IJCNN
2007
IEEE
15 years 6 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...
ICMCS
2005
IEEE
172views Multimedia» more  ICMCS 2005»
15 years 5 months ago
A Study of Synthesizing New Human Motions from Sampled Motions Using Tensor Decomposition
This paper applies an algorithm, based on Tensor Decomposition, to a new synthesis application: by using sampled motions of people of different ages under different emotional stat...
Rovshan Kalanov, Jieun Cho, Jun Ohya