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CORR
2011
Springer
199views Education» more  CORR 2011»
13 years 19 days ago
Fast Sparse Matrix-Vector Multiplication on GPUs: Implications for Graph Mining
Scaling up the sparse matrix-vector multiplication kernel on modern Graphics Processing Units (GPU) has been at the heart of numerous studies in both academia and industry. In thi...
Xintian Yang, Srinivasan Parthasarathy, Ponnuswamy...
SIAMMAX
2010
111views more  SIAMMAX 2010»
13 years 11 days ago
Stochastic Galerkin Matrices
We investigate the structural, spectral, and sparsity properties of Stochastic Galerkin matrices as they arise in the discretization of linear differential equations with random co...
Oliver G. Ernst, Elisabeth Ullmann
CVPR
2010
IEEE
13 years 3 months ago
Visual classification with multi-task joint sparse representation
We address the problem of computing joint sparse representation of visual signal across multiple kernel-based representations. Such a problem arises naturally in supervised visual...
Xiaotong Yuan, Shuicheng Yan
ECCV
1994
Springer
14 years 7 months ago
Canonic Representations for the Geometries of Multiple Projective Views
We show how a special decomposition of a set of two or three general projection matrices, called canonic enables us to build geometric descriptions for a system of cameras which a...
Quang-Tuan Luong, Thierry Viéville
TIT
2010
100views Education» more  TIT 2010»
13 years 10 days ago
Theoretical and empirical results for recovery from multiple measurements
The joint-sparse recovery problem aims to recover, from sets of compressed measurements, unknown sparse matrices with nonzero entries restricted to a subset of rows. This is an ex...
Ewout van den Berg, Michael P. Friedlander