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» The Structure of Sparse Resultant Matrices
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CATA
2010
15 years 1 months ago
Utilizing Recursive Storage in Sparse Matrix-Vector Multiplication - Preliminary Considerations
Computations with sparse matrices on "multicore cache based" computers are affected by the irregularity of the problem at hand, and performance degrades easily. In this ...
Michele Martone, Salvatore Filippone, Salvatore Tu...
156
Voted
CVPR
2012
IEEE
13 years 2 months ago
Random walks based multi-image segmentation: Quasiconvexity results and GPU-based solutions
We recast the Cosegmentation problem using Random Walker (RW) segmentation as the core segmentation algorithm, rather than the traditional MRF approach adopted in the literature s...
Maxwell D. Collins, Jia Xu, Leo Grady, Vikas Singh
CORR
2008
Springer
98views Education» more  CORR 2008»
14 years 11 months ago
Information-theoretic limits on sparse signal recovery: Dense versus sparse measurement matrices
We study the information-theoretic limits of exactly recovering the support set of a sparse signal, using noisy projections defined by various classes of measurement matrices. Our ...
Wei Wang, Martin J. Wainwright, Kannan Ramchandran
109
Voted
HPCN
1997
Springer
15 years 3 months ago
Parallel Solution of Irregular, Sparse Matrix Problems Using High Performance Fortran
For regular, sparse, linear systems, like those derived from regular grids, using High Performance Fortran (HPF) for iterative solvers is straightforward. However, for irregular ma...
Eric de Sturler, Damian Loher