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» Computing with abstract matrix structures
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EUROPAR
2009
Springer
15 years 9 months ago
Using Hybrid CPU-GPU Platforms to Accelerate the Computation of the Matrix Sign Function
Abstract. We investigate the performance of two approaches for matrix inversion based on Gaussian (LU factorization) and Gauss-Jordan eliminations. The target architecture is a cur...
Peter Benner, Pablo Ezzatti, Enrique S. Quintana-O...
165
Voted
BMVC
2001
15 years 7 months ago
Spectral and Spatial Invariant Image Retrieval using Scene Structural Matrix
We introduce Scene Structural Matrix (SSM), a novel image content descriptor and its application to invariant image retrieval. The SSM captures the overall structural characterist...
Guoping Qiu, S. Sudirman
CVPR
2007
IEEE
15 years 11 months ago
Matrix-Structural Learning (MSL) of Cascaded Classifier from Enormous Training Set
Aiming at the problem when both positive and negative training set are enormous, this paper proposes a novel Matrix-Structural Learning (MSL) method, as an extension to Viola and ...
Shengye Yan, Shiguang Shan, Xilin Chen, Wen Gao, J...
SIPS
2007
IEEE
15 years 11 months ago
Efficient Function Evaluations with Lookup Tables for Structured Matrix Operations
A hardware ef cient approach is introduced for elementary function evaluations in certain structured matrix computations. It is a comprehensive approach that utilizes lookup table...
Kanwaldeep Sobti, Lanping Deng, Chaitali Chakrabar...
144
Voted
CORR
2008
Springer
82views Education» more  CORR 2008»
15 years 5 months ago
Kaltofen's division-free determinant algorithm differentiated for matrix adjoint computation
Kaltofen has proposed a new approach in (Kaltofen, 1992) for computing matrix determinants without divisions. The algorithm is based on a baby steps/giant steps construction of Kr...
Gilles Villard