89 search results - page 5 / 18 » A Monotonic Measure for Optimal Feature Selection |
ICML
2004
IEEE
14 years 9 months ago
2004
IEEE
Feature selection is the task of choosing a small set out of a given set of features that capture the relevant properties of the data. In the context of supervised classification ...
ICASSP
2009
IEEE
14 years 3 months ago
2009
IEEE
In this paper, block diagonal linear discriminant analysis (BDLDA) is improved and applied to gene expression data. BDLDA is a classification tool with embedded feature selection...
CVPR
2010
IEEE
14 years 5 months ago
2010
IEEE
Many feature detection algorithms rely on the choice of scale. In this paper, we complement standard scaleselection algorithms with spatial regularization. To this end, we formula...
TMI
2002
13 years 8 months ago
2002
Abstract--An active shape model segmentation scheme is presented that is steered by optimal local features, contrary to normalized first order derivative profiles, as in the origin...
IDEAL
2005
Springer
14 years 2 months ago
2005
Springer
Due to the large number of genes measured in a typical microarray dataset, feature selection plays an essential role in tumor classification. In turn, relevance and redundancy are ...