PUBLICACIÓN

Deploying massive runs of evolutionary algorithms with ECJ and Hadoop: Reducing interest points required for face recognition

ACCEDER A LA PUBLICACIÓN: Scopus Orcid

Francisco Chávez; Francisco Fernández de Vega; Daniel Lanza; César Benavides; Juan Villegas; Leonardo Trujillo; Gustavo Olague; Graciela Román

2018 INTERNATIONAL JOURNAL OF HIGH PERFORMANCE COMPUTING APPLICATIONS

Hardware and Architecture (Q3), Software (Q3), Theoretical Computer Science (Q3)

JCR: 1.956

SJR: 0.294


CITAS

4

DOI

10.1177/1094342016678302

EID

2-s2.0-85053895627

ISSN

1094-3420

EISSN

1741-2846

BIBTEX

@article{Chávez2018,title = {Deploying massive runs of evolutionary algorithms with ECJ and Hadoop: Reducing interest points required for face recognition},journal = {International Journal of High Performance Computing Applications},year = {2018},volume = {32},number = {5},pages = {706-720},author = {Ch{\'a}vez, F. and Fern{\'a}ndez de Vega, F. and Lanza, D. and Benavides, C. and Villegas, J. and Trujillo, L. and Olague, G. and Rom{\'a}n, G.}}


AUTORES DE LA UEX