60 search results - page 2 / 12 » Sparse Kernels for Bayes Optimal Discriminant Analysis |
TNN
2010
13 years 21 hour ago
2010
Discriminant analysis plays an important role in statistical pattern recognition. A popular method is the Foley
AAAI
2000
13 years 6 months ago
2000
We introduce the notion of restricted Bayes optimal classifiers. These classifiers attempt to combine the flexibility of the generative approach to classification with the high ac...
JMLR
2006
13 years 5 months ago
2006
In this paper we consider a novel Bayesian interpretation of Fisher's discriminant analysis. We relate Rayleigh's coefficient to a noise model that minimises a cost base...
CVPR
2005
IEEE
14 years 7 months ago
2005
IEEE
It was prescriptive that an image matrix was transformed into a vector before the kernel-based subspace learning. In this paper, we take the Kernel Discriminant Analysis (KDA) alg...
ICDM
2009
IEEE
13 years 12 months ago
2009
IEEE
—We consider the problem of learning a linear combination of pre-specified kernel matrices in the Fisher discriminant analysis setting. Existing methods for such a task impose a...