413 search results - page 14 / 83 » Face recognition using mixtures of principal components |
ICPR
2006
IEEE
14 years 8 months ago
2006
IEEE
In this paper, a multilinear formulation of the popular Principal Component Analysis (PCA) is proposed, named as multilinear PCA (MPCA), where the input can be not only vectors, b...
ICPR
2004
IEEE
14 years 8 months ago
2004
IEEE
In statistical pattern recognition, it is important to estimate true distribution of patterns precisely to obtain high recognition accuracy. Normal mixtures are sometimes used for...
ICANN
1997
Springer
13 years 11 months ago
1997
Springer
A new method for performing a nonlinear form of Principal Component Analysis is proposed. By the use of integral operator kernel functions, one can e ciently compute principal comp...
AVBPA
2003
Springer
14 years 27 days ago
2003
Springer
The quadratic discriminant (QD) classifier has proved to be simple and effective in many pattern recognition problems. However, it requires the computation of the inverse of the sa...
AVBPA
2001
Springer
14 years 5 days ago
2001
Springer
In several pattern recognition problems, particularly in image recognition ones, there are often a large number of features available, but the number of training samples for each p...