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
Acknowledgement

Links:
UNR-CVL
UNR-Home Page


For future work, we plan to further explore the selected feature subsets to better understand the relationships among them. Hopefully, this investigation will allow us to get some insights about the distribution of gender-related features in facial images. Moreover, we plan to test the genetic eigen-feature selection scheme using more datasets (e.g., vehicle classification) as well as features extracted by various methods (e.g., Gabor features).
| Main | Overview | Methodology | Results | Future Work | Publications | Acknowledgement |
| UNR-CVL | UNR-Home Page |