1491 search results - page 38 / 299 » Training Linear Discriminant Analysis in Linear Time |
IJCNN
2000
IEEE
15 years 2 months ago
2000
IEEE
Multilayer perceptrons are often trained using error backpropagation (BP). BP training can be done in either a batch or continuous manner. Claims have frequently been made that bat...
CLASSIFICATION
2004
14 years 9 months ago
2004
: We propose a new nonparametric family of oscillation heuristics for improving linear classifiers in the two-group discriminant problem. The heuristics are motivated by the intuit...
DRR
2010
15 years 4 days ago
2010
Scaling up document-image classifiers to handle an unlimited variety of document and image types poses serious challenges to conventional trainable classifier technologies. Highly...
ESANN
2008
14 years 11 months ago
2008
The evaluation of a standard Gaussian process regression model takes time linear in the number of training data points. In this paper, the models are approximated in the feature sp...
ECCV
2006
Springer
15 years 11 months ago
2006
Springer
Many linear discriminant analysis (LDA) and kernel Fisher discriminant analysis (KFD) methods are based on the restrictive assumption that the data are homoscedastic. In this paper...