21 search results - page 3 / 5 » Kernel map compression using generalized radial basis functi... |
DATAMINE
1998
13 years 5 months ago
1998
The tutorial starts with an overview of the concepts of VC dimension and structural risk minimization. We then describe linear Support Vector Machines (SVMs) for separable and non-...
ICASSP
2011
IEEE
12 years 9 months ago
2011
IEEE
Compressive sensing accurately reconstructs a signal that is sparse in some basis from measurements, generally consisting of the signal’s inner products with Gaussian random vec...
NEUROSCIENCE
2001
Springer
13 years 10 months ago
2001
Springer
The Brain is a slow computer yet humans can skillfully play games such as tennis where very fast reactions are required. Of particular interest is the evidence for strategic thinki...
CVPR
2009
IEEE
13 years 9 months ago
2009
IEEE
In this paper general solutions for Nonlinear Nonnegative Component Analysis for data representation and recognition are proposed. That is, motivated by a combination of the Nonne...
IJCNN
2007
IEEE
14 years 2 days ago
2007
IEEE
Abstract— The optimal model parameters of a kernel machine are typically given by the solution of a convex optimisation problem with a single global optimum. Obtaining the best p...