502 search results - page 62 / 101 » Principal Component Analysis for Sparse High-Dimensional Dat... |
ICIP
2007
IEEE
14 years 10 months ago
2007
IEEE
Interest in face recognition systems has increased significantly due to the emergence of significant commercial opportunities in surveillance and security applications. In this pa...
CHI
2009
ACM
14 years 9 months ago
2009
ACM
Correlations between prototypical usability metrics from 90 distinct usability tests were strong when measured at the task-level (r between .44 and .60). Using test-level satisfac...
ICIP
2007
IEEE
14 years 18 days ago
2007
IEEE
We propose a novel learning algorithm to detect moving pedestrians from a stationary camera in real-time. The algorithm learns a discriminative model based on eigenflow, i.e. the ...
PAMI
2010
13 years 7 months ago
2010
—A new formulation for multiway spectral clustering is proposed. This method corresponds to a weighted kernel principal component analysis (PCA) approach based on primal-dual lea...
ICIAR
2004
Springer
14 years 2 months ago
2004
Springer
Previous work has shown that principal component analysis (PCA) of three-dimensional face models can be used to perform recognition to a high degree of accuracy. However, experimen...