55 search results - page 8 / 11 » Random Subspace Two-Dimensional PCA for Face Recognition |
CVPR
2005
IEEE
14 years 9 months ago
2005
IEEE
Subspace methods such as PCA, LDA, ICA have become a standard tool to perform visual learning and recognition. In this paper we propose Representational Oriented Component Analysi...
CVPR
2001
IEEE
14 years 9 months ago
2001
IEEE
Modeling subspaces of a distribution of interest in high dimensional spaces is a challenging problem in pattern analysis. In this paper, we present a novel framework for pose inva...
CVPR
2008
IEEE
14 years 2 months ago
2008
IEEE
Recently, 2DPCA and its variants have attracted much attention in face recognition area. In this paper, some efforts are made to discover the underlying fundaments of these method...
ICCV
2007
IEEE
14 years 9 months ago
2007
IEEE
Subspace learning based face recognition methods have attracted considerable interests in recent years, including Principal Component Analysis (PCA), Linear Discriminant Analysis ...
AVBPA
2003
Springer
14 years 25 days ago
2003
Springer
This paper describes a novel framework for the Open World face recognition problem, where one has to provide for the Reject option. Based upon algorithmic randomness and transducti...