1004 search results - page 7 / 201 » A comparison of generalized linear discriminant analysis alg... |
ACCV
2007
Springer
14 years 2 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...
CIVR
2005
Springer
14 years 2 months ago
2005
Springer
Principle Component Analysis (PCA) technique is an important and well-developed area of image recognition and to date many linear discrimination methods have been put forward. Desp...
IJCAI
2007
13 years 10 months ago
2007
Linear Discriminant Analysis (LDA) is a popular data-analytic tool for studying the class relationship between data points. A major disadvantage of LDA is that it fails to discove...
ICDE
2008
IEEE
14 years 10 months ago
2008
IEEE
Linear Discriminant Analysis (LDA) has been a popular method for extracting features which preserve class separability. It has been widely used in many fields of information proces...
TNN
2008
13 years 8 months ago
2008
Abstract--Large-margin methods, such as support vector machines (SVMs), have been very successful in classification problems. Recently, maximum margin discriminant analysis (MMDA) ...