Preserving the Essential Features in CNNs: Pruning and Analysis
In: Advances in Artificial Intelligence : 20th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2024, Jg. 14640 (2024), S. 131-141
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Zugriff:
Titel: |
Preserving the Essential Features in CNNs: Pruning and Analysis
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Autor/in / Beteiligte Person: | López-González, Clara I. ; Gómez-Silva, María J. ; Besada-Portas, Eva ; Pajares, Gonzalo ; Goos, Gerhard, Founding Editor ; Hartmanis, Juris, Founding Editor ; Bertino, Elisa [Ed.]ial Board Member ; Gao, Wen [Ed.]ial Board Member ; Steffen, Bernhard [Ed.]ial Board Member ; Yung, Moti [Ed.]ial Board Member ; Alonso-Betanzos, Amparo [Ed.] ; Guijarro-Berdiñas, Bertha [Ed.] ; Bolón-Canedo, Verónica [Ed.] ; Hernández-Pereira, Elena [Ed.] ; Fontenla-Romero, Oscar [Ed.] ; Camacho, David [Ed.] ; Rabuñal, Juan Ramón [Ed.] ; Ojeda-Aciego, Manuel [Ed.] ; Medina, Jesús [Ed.] ; Riquelme, José C. [Ed.] ; Troncoso, Alicia [Ed.] |
Zeitschrift: | Advances in Artificial Intelligence : 20th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2024, Jg. 14640 (2024), S. 131-141 |
Veröffentlichung: | 2024 |
Medientyp: | E-Book |
ISBN: | 978-3-031-62798-9 (print) ; 978-3-031-62799-6 (print) |
DOI: | 10.1007/978-3-031-62799-6_14 |
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