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» Concept Lattice Generation by Singular Value Decomposition
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ICMCS
2005
IEEE
172views Multimedia» more  ICMCS 2005»
13 years 11 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
BMCBI
2010
118views more  BMCBI 2010»
13 years 5 months ago
svdPPCS: an effective singular value decomposition-based method for conserved and divergent co-expression gene module identifica
Background: Comparative analysis of gene expression profiling of multiple biological categories, such as different species of organisms or different kinds of tissue, promises to e...
Wensheng Zhang, Andrea Edwards, Wei Fan, Dongxiao ...
ACSC
2009
IEEE
14 years 4 days ago
A ConceptLink Graph for Text Structure Mining
Most text mining methods are based on representing documents using a vector space model, commonly known as a bag of word model, where each document is modeled as a linear vector r...
Rowena Chau, Ah Chung Tsoi, Markus Hagenbuchner, V...
WCRE
2008
IEEE
13 years 11 months ago
Automated Concept Location Using Independent Component Analysis
Concept location techniques are designed to help isolate sections of source code that relate to specific concepts. Blind Signal Separation techniques like Singular Value Decompos...
Scott Grant, James R. Cordy, David B. Skillicorn
CORR
2010
Springer
189views Education» more  CORR 2010»
13 years 3 months ago
Robust PCA via Outlier Pursuit
Singular Value Decomposition (and Principal Component Analysis) is one of the most widely used techniques for dimensionality reduction: successful and efficiently computable, it ...
Huan Xu, Constantine Caramanis, Sujay Sanghavi