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Genetic Programming for Image Classification: An Automated Approach to Feature Learning - Adaptation, Learning, and Optimization Ying Bi 1st ed. 2021 edition
Genetic Programming for Image Classification: An Automated Approach to Feature Learning - Adaptation, Learning, and Optimization
Ying Bi
This book offers several new GP approaches to feature learning for image classification. This book shows how different techniques, e.g., image operators, ensembles, and surrogate, are proposed and employed to improve the accuracy and/or computational efficiency of GP for image classification.
258 pages, 59 Illustrations, color; 33 Illustrations, black and white; XXVIII, 258 p. 92 illus., 59
| Medios de comunicación | Libros Hardcover Book (Libro con lomo y cubierta duros) |
| Publicado | 9 de febrero de 2021 |
| ISBN13 | 9783030659264 |
| Editores | Springer Nature Switzerland AG |
| Páginas | 258 |
| Dimensiones | 150 × 220 × 20 mm · 580 g |
| Lengua | Alemán |