373 search results - page 3 / 75 » Class Separability in Spaces Reduced By Feature Selection |
ICMCS
2006
IEEE
13 years 11 months ago
2006
IEEE
An iterative model selection algorithm is proposed. The algorithm seeks relevant features and an optimal number of codewords (or codebook size) as part of the optimization. We use...
IJCNN
2008
IEEE
13 years 11 months ago
2008
IEEE
— We discuss sparse support vector machines (sparse SVMs) trained in the reduced empirical feature space. Namely, we select the linearly independent training data by the Cholesky...
ICML
1994
IEEE
13 years 8 months ago
1994
IEEE
With the goal of reducing computational costs without sacrificing accuracy, we describe two algorithms to find sets of prototypes for nearest neighbor classification. Here, the te...
TNN
2008
13 years 5 months ago
2008
In this paper, we argue that for a C-class classification problem, C 2-class classifiers, each of which discriminating one class from the other classes and having a characteristic ...
PAMI
2007
13 years 4 months ago
2007
We consider the problem of detecting a large number of different classes of objects in cluttered scenes. Traditional approaches require applying a battery of different classifier...