Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Víctor R. López-López"'
Publikováno v:
Expert Systems. 37
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a1ec1ef8aa679125a4f74c64f176f9c5
https://doi.org/10.1111/exsy.12572
https://doi.org/10.1111/exsy.12572
Publikováno v:
the Genetic and Evolutionary Computation Conference Companion
the Genetic and Evolutionary Computation Conference Companion, Jul 2018, Kyoto, Japan. pp.1598-1605, ⟨10.1145/3205651.3208237⟩
GECCO (Companion)
the Genetic and Evolutionary Computation Conference Companion, Jul 2018, Kyoto, Japan. pp.1598-1605, ⟨10.1145/3205651.3208237⟩
GECCO (Companion)
Genetic Improvement (GI) performs a search at the level of source code to find the best variant of a baseline system that improves non-functional properties while maintaining functionality with noticeable results in several domains. There a many aspe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::33b8ec300ba0785ba04daedd1bf97a55
https://hal.inria.fr/hal-02410785
https://hal.inria.fr/hal-02410785
Publikováno v:
NEO 2016 ISBN: 9783319640624
LSA is a useful user study technique, it is well known and used to design and evaluate Ubicomp systems. The LSA technique enables researchers to collect data, analyze it, and obtain quantitative and statistical results. A key advantage of using LSA i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6507a94942c4d5e8e42f6777ca2d04d1
https://doi.org/10.1007/978-3-319-64063-1_2
https://doi.org/10.1007/978-3-319-64063-1_2
Autor:
Leonardo Trujillo, Pierrick Legrand, Víctor R. López-López, Gustavo Olague, Victor H. Diaz-Ramirez
Publikováno v:
Instituto Politécnico Nacional
IPN
Redalyc-IPN
Computación y Sistemas (México) Num.4 Vol.20
IPN
Redalyc-IPN
Computación y Sistemas (México) Num.4 Vol.20
"The detection and description of locally salient regions is one of the most widely used low-level processes in modern computer vision systems. The general approach relies on the detection of stable and invariant image features that can be uniquely c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1752aba3b8ffb6ed563580ea57d22b67
https://doi.org/10.13053/cys-20-4-2500
https://doi.org/10.13053/cys-20-4-2500
Publikováno v:
GECCO 2016-Genetic and Evolutionary Computation Conference
GECCO 2016-Genetic and Evolutionary Computation Conference, Jun 2016, Denver, United States. ⟨10.1145/2908961.2931693⟩
Gecco 2016
Gecco 2016, Jun 2016, Denver, United States. ⟨10.1145/2908961.2931693⟩
GECCO (Companion)
GECCO 2016-Genetic and Evolutionary Computation Conference, Jun 2016, Denver, United States. ⟨10.1145/2908961.2931693⟩
Gecco 2016
Gecco 2016, Jun 2016, Denver, United States. ⟨10.1145/2908961.2931693⟩
GECCO (Companion)
International audience; Genetic programming (GP) is an evolutionary-based search paradigm that is well suited to automatically solve difficult design problems. The general principles of GP have been used to evolve mathematical functions, models, imag
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::273bf8d5d94d378d4e8512985f054b58
https://inria.hal.science/hal-01389066
https://inria.hal.science/hal-01389066