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» Distributed sparse linear regression
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IPPS
1998
IEEE
14 years 2 months ago
Local Enumeration Techniques for Sparse Algorithms
Several methods have been proposed in the literature for the local enumeration of dense references for arrays distributed by the CYCLIC(k) data-distributionin High Performance For...
Gerardo Bandera, Pablo P. Trabado, Emilio L. Zapat...
ICASSP
2009
IEEE
14 years 4 months ago
RLS-weighted Lasso for adaptive estimation of sparse signals
The batch least-absolute shrinkage and selection operator (Lasso) has well-documented merits for estimating sparse signals of interest emerging in various applications, where obse...
Daniele Angelosante, Georgios B. Giannakis
FGR
2011
IEEE
288views Biometrics» more  FGR 2011»
13 years 1 months ago
Facial action unit recognition with sparse representation
This paper presents a novel framework for recognition of facial action unit (AU) combinations by viewing the classification as a sparse representation problem. Based on this framew...
Mohammad H. Mahoor, Mu Zhou, Kevin L. Veon, Seyed ...
DC
2010
13 years 10 months ago
Distributed algorithms for ultrasparse spanners and linear size skeletons
We present efficient algorithms for computing very sparse low distortion spanners in distributed networks and prove some non-trivial lower bounds on the tradeoff between time, spar...
Seth Pettie
QNS
1996
13 years 11 months ago
Case studies on the development of ScaLAPACK and the NAG Numerical PVM Library
In this paper we look at the developmentof ScaLAPACK, a software library for dense and banded numerical linear algebra, and the NAG Numerical PVM Library, which includes software ...
Jack Dongarra, Sven Hammarling, Antoine Petitet