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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
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预计送达时间 年7月7日 - 年7月17日
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其他版本:
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
| 介质类型 | 图书 Paperback Book (平装胶订图书) |
| 已发行 | 2022年2月10日 |
| ISBN13 | 9783030659295 |
| 出版商 | Springer Nature Switzerland AG |
| 页数 | 258 |
| 商品尺寸 | 150 × 220 × 10 mm · 408 g |
| 语言 | 德语 |