CIBCB
2005
IEEE
13 years 10 months ago
2005
IEEE
Feature selection is an important preprocessing technique for many pattern recognition problems. When the number of features is very large while the number of samples is relatively...
ISBRA
2007
Springer
13 years 10 months ago
2007
Springer
Abstract. DNA microarrays can monitor the expression levels of thousands of genes simultaneously, providing the opportunity for the identification of genes that are differentiall...
ICASSP
2007
IEEE
13 years 11 months ago
2007
IEEE
This paper proposes a novel feature selection method based on twostage analysis of Fisher Ratio and Mutual Information for robust Brain Computer Interface. This method decomposes ...
FUZZIEEE
2007
IEEE
13 years 11 months ago
2007
IEEE
— An iterative feature selection method based on feature typicality and interactivity analysis is presented in this paper. The aim is to enhance model interpretability by selecti...
ACIVS
2008
Springer
13 years 11 months ago
2008
Springer
An iterative method to select suitable features in an industrial fabric defect recognition context is proposed in this paper. It combines a global feature selection method based on...
PKDD
2009
Springer
13 years 11 months ago
2009
Springer
A frequent problem in density level-set estimation is the choice of the right features that give rise to compact and concise representations of the observed data. We present an e...
PKDD
2009
Springer
13 years 11 months ago
2009
Springer
Abstract. This paper presents a novel feature selection method for classification of high dimensional data, such as those produced by microarrays. It includes a partial supervisio...
ISDA
2009
IEEE
13 years 11 months ago
2009
IEEE
— In this contribution a feature selection method in semi-supervised problems is proposed. This method selects variables using a feature clustering strategy, using a combination ...
ICML
2009
IEEE
14 years 5 months ago
2009
IEEE
This paper addresses feature selection techniques for classification of high dimensional data, such as those produced by microarray experiments. Some prior knowledge may be availa...
ICPR
2008
IEEE
14 years 5 months ago
2008
IEEE
AdaBoost and support vector machines (SVM) algorithms are commonly used in the field of object recognition. As classifiers, their classification performance is sensitive to affect...