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» Generalized Filtering Decomposition
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116
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BMCBI
2010
165views more  BMCBI 2010»
15 years 18 days ago
Filtering, FDR and power
Background: In high-dimensional data analysis such as differential gene expression analysis, people often use filtering methods like fold-change or variance filters in an attempt ...
Maarten van Iterson, Judith M. Boer, Renée ...
ECCV
1994
Springer
16 years 2 months ago
Canonic Representations for the Geometries of Multiple Projective Views
We show how a special decomposition of a set of two or three general projection matrices, called canonic enables us to build geometric descriptions for a system of cameras which a...
Quang-Tuan Luong, Thierry Viéville
SIGMOD
2008
ACM
157views Database» more  SIGMOD 2008»
16 years 19 days ago
CRD: fast co-clustering on large datasets utilizing sampling-based matrix decomposition
The problem of simultaneously clustering columns and rows (coclustering) arises in important applications, such as text data mining, microarray analysis, and recommendation system...
Feng Pan, Xiang Zhang, Wei Wang 0010
ESA
2008
Springer
142views Algorithms» more  ESA 2008»
15 years 2 months ago
Edge Coloring and Decompositions of Weighted Graphs
We consider two generalizations of the edge coloring problem in bipartite graphs. The first problem we consider is the weighted bipartite edge coloring problem where we are given a...
Uriel Feige, Mohit Singh
105
Voted
CORR
2007
Springer
105views Education» more  CORR 2007»
15 years 14 days ago
Relative-Error CUR Matrix Decompositions
Many data analysis applications deal with large matrices and involve approximating the matrix using a small number of “components.” Typically, these components are linear combi...
Petros Drineas, Michael W. Mahoney, S. Muthukrishn...