你好! Shipping to Taiwan with premium packaging for just NT$300 

Ship to
Taiwan
0

My Account

  • argentina
  • chile
  • colombia
  • españa
  • méxico
  • perú
  • estados unidos
  • internacional

menu

Select your country

Americas

Europe

Rest of the world

portada Genetic Programming for Image Classification: An Automated Approach to Feature Learning
Type
Physical Book
Author
Publisher
Language
English
Pages
258
Format
Paperback
Dimensions
23.4x15.6x1.5 cm
Weight
0.41 kg.
ISBN13
9783030659295
Categories

Genetic Programming for Image Classification: An Automated Approach to Feature Learning

Mengjie Zhang (Author) · Ying Bi (Author) · Bing Xue (Author) · Springer · Paperback

Genetic Programming for Image Classification: An Automated Approach to Feature Learning - Bi, Ying ; Xue, Bing ; Zhang, Mengjie

Cheaper New Book Imported to Taiwan
Delivery: 23 Sep - 06 Oct Shipping: 12 to 16 business days.
NT$ 5,059
Faster New Book Imported to Taiwan
Delivery: 11 Sep - 21 Sep Shipping: 4 to 5 business days.
NT$ 6,620
NT$ 5,059

Choose the list to add your product or create one New List

Go to My Wishlists
Calculate shipping cost

Synopsis "Genetic Programming for Image Classification: An Automated Approach to Feature Learning"

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 andpostgraduate level textbook in artificial intelligence, machine learning, computer vision, and evolutionary computation.

Customers reviews

More customer reviews
  • 0% (0)
  • 0% (0)
  • 0% (0)
  • 0% (0)
  • 0% (0)

Frequently Asked Questions about the Book

Is the book original?

All books in our catalog are Original.

In what language is the book written?

The book is written in English.

What is the format of this book?

The binding of this edition is Paperback.

Questions and Answers about the Book

Do you have a question about the book? Login to be able to add your own question.

Opinions about Bookdelivery

More customer reviews