55 search results - page 9 / 11 » Random Subspace Two-Dimensional PCA for Face Recognition |
CVPR
2004
IEEE
14 years 8 months ago
2004
IEEE
Linear Discriminant Analysis (LDA) is a popular feature extraction technique for face recognition. However, It often suffers from the small sample size problem when dealing with t...
IVC
2002
13 years 5 months ago
2002
When attempting to code faces for modeling or recognition, estimates of dimensions are typically obtained from an ensemble. These tend to be significantly sub-optimal. Firstly, en...
ICIAP
2005
ACM
14 years 6 months ago
2005
ACM
In order for a subspace projection based method to be robust to local distortion and partial occlusion, the basis images generated by the method should exhibit a part-based local r...
CVPR
2001
IEEE
14 years 8 months ago
2001
IEEE
In this paper, we propose a novel method, called local nonnegative matrix factorization (LNMF), for learning spatially localized, parts-based subspace representation of visual pat...
ICPR
2008
IEEE
14 years 12 days ago
2008
IEEE
This paper introduces a framework that employs the Fisher linear discriminant model (FLDM) and classifier (FLDC) on integrated facial appearance and facial expression features. T...