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» On matrices with the Edmonds-Johnson property
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MPC
2010
Springer
174views Mathematics» more  MPC 2010»
13 years 11 months ago
Matrices as Arrows!
cting programs and point-free abstraction [2]. In order to automatically generate the fast running code there was the need to use matrix product as the basic matrix composition ope...
Hugo Daniel Macedo, José Nuno Oliveira
DMKD
2003
ACM
96views Data Mining» more  DMKD 2003»
14 years 27 days ago
Using transposition for pattern discovery from microarray data
We analyze expression matrices to identify a priori interesting sets of genes, e.g., genes that are frequently co-regulated. Such matrices provide expression values for given biol...
François Rioult, Jean-François Bouli...
CCR
2005
129views more  CCR 2005»
13 years 7 months ago
The problem of synthetically generating IP traffic matrices: initial recommendations
There exist a wide variety of network design problems that require a traffic matrix as input in order to carry out performance evaluation. The research community has not had at it...
Antonio Nucci, Ashwin Sridharan, Nina Taft
COLOGNETWENTE
2008
13 years 9 months ago
Constrained Decompositions of Integer Matrices and their Applications to Intensity Modulated Radiation Therapy
We consider combinatorial optimization problems arising in radiation therapy. Given a matrix I with non-negative integer entries, we seek for a decomposition of I as a weighted su...
Céline Engelbeen, Samuel Fiorini
TNN
2010
148views Management» more  TNN 2010»
13 years 2 months ago
Generalized low-rank approximations of matrices revisited
Compared to Singular Value Decomposition (SVD), Generalized Low Rank Approximations of Matrices (GLRAM) can consume less computation time, obtain higher compression ratio, and yiel...
Jun Liu, Songcan Chen, Zhi-Hua Zhou, Xiaoyang Tan