117 search results - page 12 / 24 » New Fast Principal Component Analysis for Face Detection |
118
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ESANN
2006
14 years 10 months ago
2006
Random Forests were introduced by Breiman for feature (variable) selection and improved predictions for decision tree models. The resulting model is often superior to AdaBoost and ...
101
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ECOOP
2006
Springer
15 years 1 months ago
2006
Springer
Abstract. One of the costs of reusing software components is updating applications to use the new version of the components. Updating an application can be error-prone, tedious, an...
CVPR
2003
IEEE
15 years 11 months ago
2003
IEEE
We wish to match sets of images to sets of images where both sets are undergoing various distortions such as viewpoint and lighting changes. To this end we have developed a Joint ...
ICMCS
2005
IEEE
15 years 3 months ago
2005
IEEE
The main achievement of this work is the development of a new face recognition approach called Partial Principal Component Analysis (P2 CA), which exploits the novel concept of us...
PRL
2002
14 years 9 months ago
2002
: Recently, a method called (PC)2 A was proposed to deal with face recognition with one training image per person. As an extension of the standard eigenface technique, (PC)2 A comb...