Genetic programming for structural similarity design at multiple spatial scales

Bakurov, I., Buzzelli, M., Castelli, M., Schettini, R., & Vanneschi, L. (2022). Genetic programming for structural similarity design at multiple spatial scales. In GECCO ’22. Proceedings of the 2022 Genetic and Evolutionary Computation Conference (pp. 911-919). (GECCO 2022 - The Genetic and Evol...

ver descrição completa

Detalhes bibliográficos
Autor principal: Bakurov, Illya (author)
Outros Autores: Buzzelli, Marco (author), Castelli, Mauro (author), Schettini, Raimondo (author), Vanneschi, Leonardo (author)
Formato: conferenceObject
Idioma:eng
Publicado em: 2022
Assuntos:
Genetic Programming
Image Quality Assessment
Structural Similarity
Multi-Scale Structural Similarity Index
Dilated Convolutions
Spatially-Varying Kernels
Multi-Scale Context
Multi-Scale Processing
Evolutionary Computation
Image Processing
Artificial Intelligence
Software
Theoretical Computer Science
Texto completo:http://hdl.handle.net/10362/141872
País:Portugal
Oai:oai:run.unl.pt:10362/141872
Descrição
Resumo:Bakurov, I., Buzzelli, M., Castelli, M., Schettini, R., & Vanneschi, L. (2022). Genetic programming for structural similarity design at multiple spatial scales. In GECCO ’22. Proceedings of the 2022 Genetic and Evolutionary Computation Conference (pp. 911-919). (GECCO 2022 - The Genetic and Evolutionary Computation Conference, July 9-13, Boston, US). Association for Computing Machinery (ACM). ISBN 978-1-4503-9237-2/22/07 ---- Funding Information: FCT Portugal partially supported this work, under the grand SFRH/BD/137277/2018, and through projects BINDER (PTDC/CCI-INF/29168/2017) and AICE (DSAIPA/DS/ 0113/2019).

Registos relacionados