282 search results - page 31 / 57 » Additive Preconditioning for Matrix Computations |
123
Voted
AMC
2010
15 years 16 days ago
2010
: Parallel iterative methods are powerful tool for solving large system of linear equations (LEs). The existing parallel computing research results are focussed mainly on sparse sy...
110
Voted
APPT
2009
Springer
15 years 7 months ago
2009
Springer
SIMD extension is one of the most common and effective technique to exploit data-level parallelism in today’s processor designs. However, the performance of SIMD architectures i...
92
Voted
CVPR
2005
IEEE
16 years 2 months ago
2005
IEEE
We present a multiscale method for motion segmentation. Our method begins with local, ambiguous optical flow measurements. It uses a process of aggregation to resolve the ambiguit...
97
Voted
CVPR
2007
IEEE
16 years 2 months ago
2007
IEEE
Kernel machines (e.g. SVM, KLDA) have shown state-ofthe-art performance in several visual classification tasks. The classification performance of kernel machines greatly depends o...
ICPR
2002
IEEE
16 years 1 months ago
2002
IEEE
Robustness of parameter estimation relies on discriminating inliers from outliers within the set of correspondences. In this paper, we present a method using tensor voting to elim...