GAdaBoost: Accelerating adaboost feature selection with genetic algorithms

Authors

Mai F. Tolba, American University in Cairo
Mohamed Moustafa, American University in CairoFollow

Files

Department

Computer Science & Engineering Department

Abstract

[abstract not available]

Publication Date

1-1-2016

Document Type

Book Chapter

Book Title

Proceedings of the 8th International Joint Conference on Computational Intelligence - ECTA

Editors

Juan Julian; Fernando Melício; José M. Cadenas; António Dourado; Kurosh Madani; António Ruano;Joaquim Filipe

ISBN

SCOPUS_ID:85006515468

Publisher

ScitePress

City

Porto, Portugal

First Page

156

Last Page

163

Keywords

Adaboost, Face detection, Genetic algorithms, Haar features, Object detection

Recommended Citation

APA Citation

Tolba, M. & Moustafa, M. (2016).GAdaBoost: Accelerating adaboost feature selection with genetic algorithms. ScitePress. , 156-163
https://fount.aucegypt.edu/faculty_book_chapters/378

MLA Citation

Tolba, Mai F., et al. GAdaBoost: Accelerating adaboost feature selection with genetic algorithms. ScitePress, 2016.pp. 156-163
https://fount.aucegypt.edu/faculty_book_chapters/378