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GPB
2010
231views Solid Modeling» more  GPB 2010»
13 years 5 months ago
Mining Gene Expression Profiles: An Integrated Implementation of Kernel Principal Component Analysis and Singular Value Decompos
The detection of genes that show similar profiles under different experimental conditions is often an initial step in inferring the biological significance of such genes. Visualiz...
Ferran Reverter, Esteban Vegas, Pedro Sánch...
MP
2011
13 years 2 months ago
Null space conditions and thresholds for rank minimization
Minimizing the rank of a matrix subject to constraints is a challenging problem that arises in many applications in machine learning, control theory, and discrete geometry. This c...
Benjamin Recht, Weiyu Xu, Babak Hassibi
PVM
1999
Springer
13 years 12 months ago
Parallel Computation of the SVD of a Matrix Product
In this paper we study a parallel algorithm for computing the singular value decomposition (SVD) of a product of two matrices on message passing multiprocessors. This algorithm is ...
José M. Claver, Manuel Mollar, Vicente Hern...
ICMCS
2005
IEEE
111views Multimedia» more  ICMCS 2005»
14 years 1 months ago
An Optimized Key-Frames Extraction Scheme Based on SVD and Correlation Minimization
In this paper an optimized and efficient technique for keyframes extraction of video sequences is proposed, which leads to selection of a meaningful set of video frames for each g...
Klimis S. Ntalianis, Stefanos D. Kollias
ICTAI
2008
IEEE
14 years 2 months ago
Attribute Value Taxonomy Generation through Matrix Based Adaptive Genetic Algorithm
We introduce a new adaptive genetic method for AVT generation, MCM-AVT-Learner. The MCM-AVTLearner imports the mutation and crossover matrices which makes effective use of the fi...
Hyunsung Jo, Yong-chan Na, Byonghwa Oh, Jihoon Yan...