All Title Author
Keywords Abstract

A Novel Feature Selection and Extraction Technique for Classification

DOI: 10.1109/SMC.2014.6974562

Full-Text   Cite this paper   Add to My Lib


This paper presents a versatile technique for the purpose of feature selection and extraction - Class Dependent Features (CDFs). We use CDFs to improve the accuracy of classification and at the same time control computational expense by tackling the curse of dimensionality. In order to demonstrate the generality of this technique, it is applied to handwritten digit recognition and text categorization.


comments powered by Disqus

Contact Us


微信:OALib Journal