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Sparse matrix

Known as: Dense matrix, Sparse vector, Sparsity 
In numerical analysis, a sparse matrix is a matrix in which most of the elements are zero. By contrast, if most of the elements are nonzero, then the… 
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APMonitorARPACKASCENDASTAP

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2012
Highly Cited
2012
Robust object tracking via sparsity-based collaborative model
In this paper we propose a robust object tracking algorithm using a collaborative model. As the main challenge for object… 
Highly Cited
2011
Highly Cited
2011
Sparse Bayesian Methods for Low-Rank Matrix Estimation
Recovery of low-rank matrices has recently seen significant activity in many areas of science and engineering, motivated by… 
Highly Cited
2010
Highly Cited
2010
On the Scalability of Hypergraph Models for Sparse Matrix Partitioning
We investigate the scalability of the hypergraph-based sparse matrix partitioning methods with respect to the increasing sizes of… 
Highly Cited
2010
Highly Cited
2010
Visual tracking decomposition
We propose a novel tracking algorithm that can work robustly in a challenging scenario such that several kinds of appearance and… 
Highly Cited
2006
Highly Cited
2006
k-t SPARSE: High frame rate dynamic MRI exploiting spatio-temporal sparsity
M. Lustig, J. M. Santos, D. L. Donoho, J. M. Pauly Electrical Engineering, Stanford University, Stanford, CA, United States… 
Highly Cited
2006
Highly Cited
2006
Underdetermined blind source separation based on sparse representation
This paper discusses underdetermined (i.e., with more sources than sensors) blind source separation (BSS) using a two-stage… 
Highly Cited
2005
Highly Cited
2005
Sparse Matrix-Vector multiplication on FPGAs
Floating-point Sparse Matrix-Vector Multiplication (SpMXV) is a key computational kernel in scientific and engineering… 
Highly Cited
2005
Highly Cited
2005
The Empirical Risk-Return Relation: A Factor Analysis Approach
A key criticism of the existing empirical literature on the risk-return relation relates to the relatively small amount of… 
Highly Cited
1997
Highly Cited
1997
Approximating Nature's Variation: Selecting and Using Reference Information in Restoration Ecology
Restoration ecologists use reference information to define restoration goals, determine the restoration potential of sites, and… 
Highly Cited
1991
Highly Cited
1991
FastCap: a multipole accelerated 3-D capacitance extraction program
A fast algorithm for computing the capacitance of a complicated three-dimensional geometry of ideal conductors in a uniform… 
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