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» On Wiedemann's Method of Solving Sparse Linear Systems
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BMVC
2010
15 years 4 months ago
Sparse Sparse Bundle Adjustment
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...
Kurt Konolige
ICDCN
2010
Springer
16 years 24 days ago
Parallelization of the Lanczos Algorithm on Multi-core Platforms
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...
Souvik Bhattacherjee, Abhijit Das
PPOPP
2009
ACM
16 years 6 months ago
Solving dense linear systems on platforms with multiple hardware accelerators
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...
Enrique S. Quintana-Ortí, Francisco D. Igua...
ICIP
2006
IEEE
16 years 7 months ago
Tree-Based Orthogonal Matching Pursuit Algorithm for Signal Reconstruction
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...
Chinh La, Minh N. Do
JMLR
2006
124views more  JMLR 2006»
15 years 6 months ago
A Direct Method for Building Sparse Kernel Learning Algorithms
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...
Mingrui Wu, Bernhard Schölkopf, Gökhan H...