4542 search results - page 51 / 909 » Unsupervised Feature Selection Using Feature Similarity |
ICPR
2008
IEEE
14 years 10 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...
CIBCB
2005
IEEE
14 years 2 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...
CBMS
2009
IEEE
14 years 3 months ago
2009
IEEE
Feature extraction and selection are two important steps for shape retrieval. Given a data set, a set of features which describe the shape property from different aspects are extr...
ACIVS
2009
Springer
14 years 3 months ago
2009
Springer
Abstract. Feature subset selection is an important subject when training classifiers in Machine Learning (ML) problems. Too many input features in a ML problem may lead to the so-...
ICPR
2004
IEEE
14 years 10 months ago
2004
IEEE
Feature selection is a critical component of many pattern recognition applications. There are two distinct mechanisms for feature selection, namely the wrapper method and the filt...