132 search results - page 4 / 27 » Feature Space Reduction for Face Recognition with Dual Linea... |
ICMCS
2006
IEEE
13 years 11 months ago
2006
IEEE
In this paper, we propose a novel feature extraction method for face recognition. This method is based on Discrete Cosine Transform (DCT), Energy Probability (EP), and Linear Disc...
ACII
2005
Springer
13 years 7 months ago
2005
Springer
The null space N(St) of total scatter matrix St contains no useful information for pattern classification. So, discarding the null space N(St) results in dimensionality reduction ...
ICMCS
2006
IEEE
13 years 11 months ago
2006
IEEE
It is well-known that supervised learning techniques such as linear discriminant analysis (LDA) often suffer from the so called small sample size problem when apply to solve face ...
VLSISP
2002
13 years 5 months ago
2002
Dimensionality reduction is an important problem in pattern recognition. There is a tendency of using more and more features to improve the performance of classifiers. However, not...
ACCV
2007
Springer
13 years 12 months ago
2007
Springer
A novel kernel discriminant transformation (KDT) algorithm based on the concept of canonical differences is presented for automatic face recognition applications. For each individu...