Genetic Feature Subset Selection For Gender Classification

Zehang Sun
Department of Computer Science, UNR

Advisors:
Dr. George Bebis

The Project:
Main
Overview
Methodology
Results
Future work
Publications
Achnowledgement

Links:
UNR-CVL
UNR-Home Page


This website gives an brief overview of the Genetic-Feature-Selection-Based gender classification approach. Our research demonstrates that genetic feature subset selection is a powerful tool to boost the performance of gender classification, as well as other pattern classification problem in general, such as vehicle detection.  


| Main | Overview | Methodology | Results | Future Work | Publications | Achnowledgement |
| UNR-CVL | UNR-Home Page |