573 search results - page 16 / 115 » On Wiedemann's Method of Solving Sparse Linear Systems |
BMVC
2010
13 years 7 months ago
2010
Sparse Bundle Adjustment (SBA) is a method for simultaneously optimizing a set of camera poses and visible points. It exploits the sparse primary structure of the problem, where c...
ICDCN
2010
Springer
14 years 3 months ago
2010
Springer
In this paper, we report our parallel implementations of the Lanczos sparse linear system solving algorithm over large prime fields, on a multi-core platform. We employ several lo...
PPOPP
2009
ACM
14 years 9 months ago
2009
ACM
In a previous paper we show how the FLAME methods and tools provide a solution to compute dense dense linear algebra operations on a multi-GPU platform with reasonable performance...
ICIP
2006
IEEE
14 years 10 months ago
2006
IEEE
Recent studies in linear inverse problems have recognized the sparse representation of unknown signal in a certain basis as an useful and effective prior information to solve thos...
JMLR
2006
13 years 9 months ago
2006
Many kernel learning algorithms, including support vector machines, result in a kernel machine, such as a kernel classifier, whose key component is a weight vector in a feature sp...