Genetic programming for image classification : an automated approach to feature learning / Ying Bi, Bing Xue, Mengjie Zhang.
Bi, Ying, author.; Xue, Bing (Senior lecturer in computer science), author.; Zhang, Mengjie, author.
2021
QA76.623
Available Online

Linked e-resources

Linked Resource Online Access
Concurrent users Unlimited
Authorized users Authorized users
Document Delivery Supplied Can lend chapters, not whole ebooks

Details

Title Genetic programming for image classification : an automated approach to feature learning / Ying Bi, Bing Xue, Mengjie Zhang.
Author Bi, Ying, author.
ISBN 9783030659271 (electronic bk.)
3030659275 (electronic bk.)
3030659267
9783030659264
DOI https://doi.org/10.1007/978-3-030-65927-1
Published Cham : Springer, [2021]
Language English
Description 1 online resource (279 pages)
Other Standard Identifiers 10.1007/978-3-030-65927-1 doi
Call Number QA76.623
Dewey Decimal Classification 006.3/1
Summary 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.
Bibliography, etc. Note Includes bibliographical references and index.
Access Note Access limited to authorized users.
Digital File Characteristics text file
PDF
Source of Description Description based on print version record.
Added Author Xue, Bing (Senior lecturer in computer science), author.
Zhang, Mengjie, author.
Series Adaptation, learning and optimization ; v. 24.
Available in Other Form Genetic Programming for Image Classification.
Linked Resources Online Access
Record Appears in Online Resources > Ebooks
All Resources
Computer Vision and Machine Learning
Evolutionary Computation and Genetic Programming
Multi-Layer Representation for Binary Image Classification
Evolutionary Deep Learning Using GP with Convolution Operators
GP with Image Descriptors for Learning Global and Local Features
GP with Image-Related Operators for Feature Learning
GP for Simultaneous Feature Learning and Ensemble Learning
Random Forest-Assisted GP for Feature Learning
Conclusions and Future Directions.

Browse Subjects

Show more subjects...

Statistics

from
to
Export