454 search results - page 70 / 91 » Principal Component Analysis Based on L1-Norm Maximization |
ICIP
1999
IEEE
14 years 9 months ago
1999
IEEE
An integral scheme that provides a global eigen approach to the problem of face recognition of still images has been presented in [1]. The scheme is based on the representation of...
ICPR
2004
IEEE
14 years 8 months ago
2004
IEEE
Boosting-basedmethods have recently led to the state-ofthe-art face detection systems. In these systems, weak classifiers to be boosted are based on simple, local, Haar-like featu...
ICASSP
2008
IEEE
14 years 2 months ago
2008
IEEE
This paper presents a novel classification/ retrieval system for motion events based on a perfect view invariant representation of motion trajectories and a linear classifier al...
ICPR
2008
IEEE
14 years 2 months ago
2008
IEEE
In this study Principal Component Analysis (PCA), Non-negative Matrix Factorization (NMF) and Nonnegative Tensor Factorization (NTF) are applied as dimension reduction methods in ...
ICRA
2007
IEEE
14 years 1 months ago
2007
IEEE
Abstract— Many computer vision problems such as recognition, image retrieval, and tracking require matching two images. Currently, ones try to find as reliable as possible match...