Genetic Programming for Image Classification

Name: Genetic Programming for Image Classification
Brand: Springer Nature Switzerland AG
SKU: 9783030659264
Price: 826.09 RON
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Autor: Mengjie Zhang, Bing Xue

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Editura: Springer Nature Switzerland AG

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This book offers several new GP approaches to feature learning for image classification. Image class...

Informații despre carte

Autor

Mengjie Zhang, Bing Xue

Limbă

engleză

Legare

Carte - Copertă tare

Publicat

2021

Pagini

288

EAN

9783030659264

ISBN

3030659267

Enbook ID

33635068

Editura

Springer Nature Switzerland AG

Greutate

600

Dimensiuni

160 x 241 x 21

Descriere completă

This book offers several new GP approaches to feature learning for image classification. Image classification is an important task in computer vision and machine learning with a wide range of applications. Feature learning is a fundamental step in image classification, but it is difficult due to the high variations of images. Genetic Programming (GP) is an evolutionary computation technique that can automatically evolve computer programs to solve any given problem. This is an important research field of GP and image classification. No book has been published in this field. 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. The proposed methods are applied to many different image classification tasks, and the effectiveness and interpretability of the learned models will be demonstrated. This book is suitable as a graduate and postgraduate level textbook in artificial intelligence, machine learning, computer vision, and evolutionary computation.

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