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137
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IJHPCA
2011
14 years 9 months ago
2011
Over the last twenty years, the open source community has provided more and more software on which the world’s High Performance Computing (HPC) systems depend for performance ...
CVPR
2008
IEEE
16 years 4 months ago
2008
IEEE
Sparse representation in compressive sensing is gaining increasing attention due to its success in various applications. As we demonstrate in this paper, however, image sparse rep...
119
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IVC
2007
15 years 1 months ago
2007
- Canonical correlation analysis (CCA) is a major linear subspace approach to dimensionality reduction and has been applied to image processing, pose estimation and other fields. H...
121
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PKDD
2009
Springer
15 years 8 months ago
2009
Springer
Most existing semi-supervised learning methods are based on the smoothness assumption that data points in the same high density region should have the same label. This assumption, ...
109
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WACV
2005
IEEE
15 years 7 months ago
2005
IEEE
Isomap is an exemplar of a set of data driven nonlinear dimensionality reduction techniques that have shown promise for the analysis of images and video. These methods parameteriz...