1088 search results - page 36 / 218 » Robust Principal Component Analysis for Computer Vision |
DAC
2006
ACM
14 years 8 months ago
2006
ACM
We propose a scalable and efficient parameterized block-based statistical static timing analysis algorithm incorporating both Gaussian and non-Gaussian parameter distributions, ca...
CVPR
2000
IEEE
14 years 9 months ago
2000
IEEE
The quest for a vision system capable of representing and recognizing arbitrary motions benefits from a low dimensional, non-specific representation of flow fields, to be used in ...
CVPR
2008
IEEE
14 years 9 months ago
2008
IEEE
Over the years, many tensor based algorithms, e.g. two dimensional principle component analysis (2DPCA), two dimensional singular value decomposition (2DSVD), high order SVD, have...
PAMI
2002
13 years 7 months ago
2002
We investigate the use of linear and nonlinear principal manifolds for learning low-dimensional representations for visual recognition. Several leading techniques: Principal Compo...
APNOMS
2006
Springer
13 years 11 months ago
2006
Springer
Many research works address detection and identification of network anomalies using traffic analysis. This paper considers large topologies, such as those of an ISP, with traffic a...