Free shipping on orders over 19,990 Ft via Packeta, Fox Post Box, and DPD Collection Point

Check order status

Become part of a community of book lovers from all over the world and get access to a whole bunch of benefits. Create an account for free

Free delivery for purchases over 19 990 Ft

DPD point 990 Ft DPD courier 1 190 Ft GLS point 1 190 Ft Hungarian Post 1 795 Ft Hungarian Post 1 690 Ft Hungarian Post 1 690 Ft FoxPost 1 190 Ft Packeta point 1 190 Ft GLS courier 1 690 Ft

Contact

How to shop

Help

My account

▸ Empty :-(

Free shipping on orders over 19,990 Ft via Packeta, Fox Post Box, and DPD Collection Point

Genetic Programming for Image Classification

Name: Genetic Programming for Image Classification
Brand: Springer Nature Switzerland AG
SKU: 38592001
Price: 55882 HUF
Availability: InStock
Author: Ying Bi
ISBN: 9783030659295

An Automated Approach to Feature Learning

Ying Bi

Bing Xue

Mengjie Zhang

Language

English

Book Paperback

Libristo code: 38592001

Publishers Springer Nature Switzerland AG, February 2022

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

Libristo code: 38592001

373 b

55 882 Ft

In stock at our supplier Shipping in 5-8 days

Up to 30 days for returns

Customers also purchased

OLIVO ACEITE Y LOS JABONES PRACT.AGR.INDUSTRIA CASERA ARAMBURU

binding.

2 454 Ft

After God. Tom 5 Sumi Eno

Paperback

2 591 Ft

Lidské křeslo / Hmyz Edogawa Ranpo

Hardback

6 003 Ft

Siamo tutte un po' Claudia Mara Tribuzio

Paperback

6 631 Ft

Un polígrafo portugués en la Monarquía Hispánica Plagnard

Paperback

12 049 Ft

Aplikace pravidel hospodářské soutěže a státní podpory ve sportu Jiří Janák

Paperback

9 071 Ft

Arquitectura sostenible Carles Broto i Comerma

Paperback

14 833 Ft

Desequilibrios Luis Antonio de Villena

Paperback

6 074 Ft

Chicas libro para colorear Snels Nick Snels

Paperback

4 040 Ft

Einführung in die lösungsorientierte Soziale Arbeit Frank Eger

Paperback

6 390 Ft

L'absolue verticalité de l'horizon BRIGANDET

Paperback

5 300 Ft

Curiosités géologiques de Saint-Pierre et Miquelon Blein Book

binding.

8 651 Ft

RICHARD ALLAIN: WALK TOGETHER, CHILDREN CHANT ALLAIN Book

binding.

2 827 Ft

Jemima Puddle-Duck (Traditional Chinese): 02 Zhuyin Fuhao (Bopomofo) Paperback B&w Beatrix Potter

Paperback

9 326 Ft

La Revelación del Padre Nuestro Luis Rivas

Paperback

4 757 Ft

Revue Litteraire Sur La Maladie A Virus Ebola En Afrique de l'Ouest Nancy Sonia Djoubi Kenmoé

Paperback

16 117 Ft

Tichý doprovod a jiné prózy Rilke Rainer Maria

Hardback

4 488 Ft

10,000 ANS Dans Un Bloc de Glace (Ed.1890) Louis Boussenard

Paperback

7 409 Ft

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.