38 search results - page 3 / 8 » Rescheduling for Locality in Sparse Matrix Computations |
ICCV
2005
IEEE
15 years 23 days ago
2005
IEEE
Example-based learning of codes that statistically encode general image classes is of vital importance for computational vision. Recently, non-negative matrix factorization (NMF) ...
ICCV
2005
IEEE
15 years 23 days ago
2005
IEEE
We introduce an algorithm for a non-negative 3D tensor factorization for the purpose of establishing a local parts feature decomposition from an object class of images. In the pas...
CVPR
2006
IEEE
15 years 26 days ago
2006
IEEE
In this paper, we present a novel approach to learning semantic localized patterns with binary projections in a supervised manner. The pursuit of these binary projections is refor...
SIAMSC
2011
13 years 1 months ago
2011
Abstract. An efficient parallel algorithm is presented and tested for computing selected components of H−1 where H has the structure of a Hamiltonian matrix of two-dimensional la...
JPDC
2008
13 years 10 months ago
2008
Two parallel block tridiagonalization algorithms and implementations for dense real symmetric matrices are presented. Block tridiagonalization is a critical pre-processing step for...