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» Computing with abstract matrix structures
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EUROPAR
2009
Springer
15 years 2 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...
BMVC
2001
15 years 3 days 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 4 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 4 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...
CORR
2008
Springer
82views Education» more  CORR 2008»
14 years 9 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