373 search results - page 25 / 75 » Class Separability in Spaces Reduced By Feature Selection |
DSP
2011
13 years 5 days ago
2011
We present a technique that efficiently describes nonstationarity by parametrizing spectral peaks in terms of the frequency reassignment operator variation and null-to-null peak b...
PR
2008
13 years 8 months ago
2008
7 Linear discriminant analysis (LDA) is a dimension reduction method which finds an optimal linear transformation that maximizes the class separability. However, in undersampled p...
ICPR
2010
IEEE
14 years 1 months ago
2010
IEEE
This paper introduces a geometrically inspired large-margin classifier that can be a better alternative to the Support Vector Machines (SVMs) for the classification problems with ...
ICDM
2010
IEEE
13 years 6 months ago
2010
IEEE
We present a new approach to semi-supervised anomaly detection. Given a set of training examples believed to come from the same distribution or class, the task is to learn a model ...
ESANN
2008
13 years 10 months ago
2008
In our previous work, we have developed sparse least squares support vector regressors (sparse LS SVRs) trained in the primal form in the reduced empirical feature space. In this p...