50 search results - page 7 / 10 » A Learning Algorithm of Boosting Kernel Discriminant Analysi... |
CVPR
2008
IEEE
13 years 10 months ago
2008
IEEE
In this paper, we develop a geometric framework for linear or nonlinear discriminant subspace learning and classification. In our framework, the structures of classes are conceptu...
IBPRIA
2007
Springer
14 years 2 months ago
2007
Springer
Abstract. In this article, scale and orientation invariant object detection is performed by matching intensity level histograms. Unlike other global measurement methods, the presen...
EOR
2007
13 years 8 months ago
2007
Credit scoring is a method of modelling potential risk of credit applications. Traditionally, logistic regression, linear regression and discriminant analysis are the most popular...
GECCO
2007
Springer
14 years 2 months ago
2007
Springer
As a learning method support vector machine is regarded as one of the best classifiers with a strong mathematical foundation. On the other hand, evolutionary computational techniq...
TCSV
2008
13 years 8 months ago
2008
Conventional subspace learning or recent feature extraction methods consider globality as the key criterion to design discriminative algorithms for image classification. We demonst...