104 search results - page 16 / 21 » Line-Based PCA and LDA Approaches for Face Recognition |
ISNN
2004
Springer
14 years 1 months ago
2004
Springer
Abstract. Principal Component Analysis (PCA) is a feature extraction approach directly based on a whole vector pattern and acquires a set of projections that can realize the best r...
CRV
2005
IEEE
14 years 2 months ago
2005
IEEE
We present an approach to recognizing faces with varying appearances which also considers the relative probability of occurrence for each appearance. We propose and demonstrate ex...
IJPRAI
2006
13 years 8 months ago
2006
Linear Discriminant Analysis (LDA) is a popular feature extraction technique in statistical pattern recognition. However, it often suffers from the small sample size problem when ...
CORR
2008
Springer
13 years 8 months ago
2008
Springer
: Applications such as Face Recognition (FR) that deal with high-dimensional data need a mapping technique that introduces representation of low-dimensional features with enhanced ...
ICMCS
2005
IEEE
14 years 2 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...