60 search results - page 8 / 12 » Sparse Kernels for Bayes Optimal Discriminant Analysis |
IBPRIA
2007
Springer
15 years 5 months ago
2007
Springer
Abstract. This paper presents a new Bayesian approach to hyperspectral image segmentation that boosts the performance of the discriminative classifiers. This is achieved by combin...
ICMLC
2010
Springer
14 years 10 months ago
2010
Springer
We review a multiple kernel learning (MKL) technique called p regularised multiple kernel Fisher discriminant analysis (MK-FDA), and investigate the effect of feature space denois...
103
Voted
JMLR
2011
14 years 6 months ago
2011
A multitask learning framework is developed for discriminative classification and regression where multiple large-margin linear classifiers are estimated for different predictio...
77
Voted
PKDD
2010
Springer
14 years 10 months ago
2010
Springer
There are many situations in which we have more than one view of a single data source, or in which we have multiple sources of data that are aligned. We would like to be able to bu...
113
Voted
PR
2008
14 years 11 months ago
2008
7 Linear discriminant analysis (LDA) is a dimension reduction method which finds an optimal linear transformation that maximizes the class separability. However, in undersampled p...