JMLR
2010
13 years 10 months ago
2010
A wide variety of machine learning problems can be described as minimizing a regularized risk functional, with different algorithms using different notions of risk and differen...
JMLR
2008
13 years 11 months ago
2008
The support vector machine has been successful in a variety of applications. Also on the theoretical front, statistical properties of the support vector machine have been studied ...
JMLR
2008
13 years 11 months ago
2008
Linear support vector machines (SVM) are useful for classifying large-scale sparse data. Problems with sparse features are common in applications such as document classification a...
ECCV
2010
Springer
14 years 17 days ago
2010
Springer
In this paper, we present a method for object of interest detection. This method is statistical in nature and hinges in a model which combines salient features using a mixture of l...
AIIA
2009
Springer
14 years 3 months ago
2009
Springer
Abstract. In this paper a novel framework for brain classification is proposed in the context of mental health research. A learning by example method is introduced by combining loc...
ICDAR
2009
IEEE
14 years 6 months ago
2009
IEEE
We propose an efficient method to recognize multi-stroke handwritten symbols. The method is based on computing the truncated Legendre-Sobolev expansions of the coordinate functio...
ICPR
2006
IEEE
15 years 16 days ago
2006
IEEE
We propose a classification method based on a decision tree whose nodes consist of linear Support Vector Machines (SVMs). Each node defines a decision hyperplane that classifies p...