95 search results - page 9 / 19 » Relative Gradient Learning for Independent Subspace Analysis |
AAAI
2011
12 years 8 months ago
2011
Blocking is a technique commonly used in manual statistical analysis to account for confounding variables. However, blocking is not currently used in automated learning algorithms...
ICDAR
2009
IEEE
13 years 6 months ago
2009
IEEE
In recent years research towards Indian handwritten character recognition is getting increasing attention. Many approaches have been proposed by the researchers towards handwritte...
ICIP
2002
IEEE
14 years 10 months ago
2002
IEEE
This paper describes a pattern classification approach for detecting frontal-view faces via learning a decision boundary. The classification can be achieved either by explicit est...
JMLR
2012
11 years 11 months ago
2012
We develop a high dimensional nonparametric classification method named sparse additive machine (SAM), which can be viewed as a functional version of support vector machine (SVM)...
ICPR
2008
IEEE
14 years 3 months ago
2008
IEEE
In this paper, a novel subspace learning method, semi-supervised marginal discriminant analysis (SMDA), is proposed for classification. SMDA aims at maintaining the intrinsic neig...