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ICCV
2001
IEEE
15 years 24 days ago
Robust Principal Component Analysis for Computer Vision
Principal Component Analysis (PCA) has been widely used for the representation of shape, appearance, and motion. One drawback of typical PCA methods is that they are least squares...
Fernando De la Torre, Michael J. Black
CVPR
2008
IEEE
15 years 27 days ago
Statistical analysis on Stiefel and Grassmann manifolds with applications in computer vision
Many applications in computer vision and pattern recognition involve drawing inferences on certain manifoldvalued parameters. In order to develop accurate inference algorithms on ...
Pavan K. Turaga, Ashok Veeraraghavan, Rama Chellap...
GECCO
2007
Springer
159views Optimization» more  GECCO 2007»
14 years 5 months ago
A systemic computation platform for the modelling and analysis of processes with natural characteristics
Computation in biology and in conventional computer architectures seem to share some features, yet many of their important characteristics are very different. To address this, [1]...
Erwan Le Martelot, Peter J. Bentley, R. Beau Lotto
IJHPCA
2006
99views more  IJHPCA 2006»
13 years 11 months ago
A Pragmatic Analysis Of Scheduling Environments On New Computing Platforms
Today, large scale parallel systems are available at relatively low cost. Many powerful such systems have been installed all over the world and the number of users is always incre...
Lionel Eyraud
JELIA
1990
Springer
14 years 2 months ago
Semantic Interpretation as Higher-Order Deduction
Traditional accounts of the semantic interpretation of quantified phrases and its interaction with reference and ellipsis have relied on formal manipulations of logical forms (qua...
Fernando C. N. Pereira