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FGCS
2006
119views more  FGCS 2006»
14 years 10 months ago
OpenMP versus MPI for PDE solvers based on regular sparse numerical operators
Tw o parallel programming models represented b y OpenMP and MPI are compared for PDE solvers based on regular sparse numerical operators. As a typical representative of such an app...
Markus Nordén, Sverker Holmgren, Michael Th...
JMLR
2002
106views more  JMLR 2002»
14 years 9 months ago
Some Greedy Learning Algorithms for Sparse Regression and Classification with Mercer Kernels
We present some greedy learning algorithms for building sparse nonlinear regression and classification models from observational data using Mercer kernels. Our objective is to dev...
Prasanth B. Nair, Arindam Choudhury 0002, Andy J. ...
DATAMINE
1999
140views more  DATAMINE 1999»
14 years 9 months ago
A Scalable Parallel Algorithm for Self-Organizing Maps with Applications to Sparse Data Mining Problems
Abstract. We describe a scalable parallel implementation of the self organizing map (SOM) suitable for datamining applications involving clustering or segmentation against large da...
Richard D. Lawrence, George S. Almasi, Holly E. Ru...
ICIP
2010
IEEE
14 years 8 months ago
Texture classification via patch-based sparse texton learning
Texture classification is a classical yet still active topic in computer vision and pattern recognition. Recently, several new texture classification approaches by modeling textur...
Jin Xie, Lei Zhang, Jane You, David Zhang
TSP
2010
14 years 4 months ago
Decentralized sparse signal recovery for compressive sleeping wireless sensor networks
Abstract--This paper develops an optimal decentralized algorithm for sparse signal recovery and demonstrates its application in monitoring localized phenomena using energy-constrai...
Qing Ling, Zhi Tian