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Springer Genetic Programming for Image Classification - Feature Learning

Amazon

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Description

This comprehensive book explores innovative genetic programming approaches to automated feature learning in image classification, addressing a critical challenge in computer vision and machine learning. Genetic programming, an evolutionary computation technique, offers powerful methods to automatically evolve computer programs that solve complex image classification problems. The book examines how GP can overcome the inherent difficulties posed by high variations in image data, making it an essential resource for researchers and practitioners seeking advanced solutions in this emerging field. As part of the Adaptation, Learning, and Optimization series (volume 24) published by Springer, this work represents a significant contribution to understanding how evolutionary algorithms can streamline and enhance feature extraction processes. Whether you are developing machine learning systems, exploring computer vision applications, or researching evolutionary computation methods, this book provides detailed insights into practical GP implementations for real-world image classification tasks.

Key Features

Springer publication offering novel genetic programming methods specifically designed for automated feature learning in image classification systems.

Explores how evolutionary computation techniques can solve high-variation image classification challenges without manual feature engineering.

Part of the established Adaptation, Learning, and Optimization series (volume 24), providing peer-reviewed research and authoritative guidance.

Addresses a gap in academic literature by being the first comprehensive book combining genetic programming theory with practical image classification applications.

Suitable for computer vision researchers, machine learning practitioners, and students seeking advanced techniques in evolutionary algorithms.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
09 February 2021
Listed Since
12 November 2020

Barcode

No barcode data available

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