Genetic Programming for Image Classification

Name: Genetic Programming for Image Classification
Brand: Springer Nature Switzerland AG
SKU: 9783030659264
Price: 57479 HUF
Availability: InStock

Szerző: Mengjie Zhang, Bing Xue

Nyelv:

Kötés: Kemény kötésű

Kiadó: Springer Nature Switzerland AG

Elérhetőség: Beszállítói készleten

Küldés 10-13 napon belül

57 479 Ft

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

Információk a könyvről

Szerző

Mengjie Zhang, Bing Xue

Nyelv

Angol

Kötés

Könyv - Kemény kötésű

Kiadva

2021

oldal

288

EAN

9783030659264

ISBN

3030659267

Enbook ID

33635068

Kiadó

Springer Nature Switzerland AG

Súly

600

Méretek

160 x 241 x 21

Teljes leírás

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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Genetic Programming for Image Classification

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