32 search results - page 2 / 7 » Filters, Wrappers and a Boosting-Based Hybrid for Feature Se... |
CIARP
2006
Springer
13 years 8 months ago
2006
Springer
Feature selection is a critical procedure in many pattern recognition applications. There are two distinct mechanisms for feature selection namely the wrapper methods and the filte...
ICPR
2004
IEEE
14 years 6 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...
MAMMO
2010
Springer
13 years 6 months ago
2010
Springer
Abstract. In this paper we present a boosting based approach for automatic detection of micro-calcifications in mammographic images. Our proposal is based on using local features e...
GECCO
2004
Springer
13 years 10 months ago
2004
Springer
Abstract. The performance of classification algorithms in machine learning is affected by the features used to describe the labeled examples presented to the inducers. Therefore,...
ICML
2000
IEEE
14 years 5 months ago
2000
IEEE
Algorithms for feature selection fall into two broad categories: wrappers that use the learning algorithm itself to evaluate the usefulness of features and filters that evaluate f...