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» Compressed Modular Matrix Multiplication
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CORR
2012
Springer
225views Education» more  CORR 2012»
12 years 1 months ago
Compressive Principal Component Pursuit
We consider the problem of recovering a target matrix that is a superposition of low-rank and sparse components, from a small set of linear measurements. This problem arises in co...
John Wright, Arvind Ganesh, Kerui Min, Yi Ma
CORR
2007
Springer
115views Education» more  CORR 2007»
13 years 6 months ago
Q-adic Transform revisited
We present an algorithm to perform a simultaneous modular reduction of several residues. This enables to compress polynomials into integers and perform several modular operations ...
Jean-Guillaume Dumas
CORR
2011
Springer
186views Education» more  CORR 2011»
12 years 9 months ago
Blind Compressed Sensing Over a Structured Union of Subspaces
—This paper addresses the problem of simultaneous signal recovery and dictionary learning based on compressive measurements. Multiple signals are analyzed jointly, with multiple ...
Jorge Silva, Minhua Chen, Yonina C. Eldar, Guiller...
ICCSA
2009
Springer
14 years 23 days ago
YAO: A Software for Variational Data Assimilation Using Numerical Models
Variational data assimilation consists in estimating control parameters of a numerical model in order to minimize the misfit between the forecast values and some actual observatio...
Luigi Nardi, Charles Sorror, Fouad Badran, Sylvie ...
KDD
2005
ACM
165views Data Mining» more  KDD 2005»
14 years 6 months ago
Co-clustering by block value decomposition
Dyadic data matrices, such as co-occurrence matrix, rating matrix, and proximity matrix, arise frequently in various important applications. A fundamental problem in dyadic data a...
Bo Long, Zhongfei (Mark) Zhang, Philip S. Yu