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IGI Global Deep Learning-Based Image Analysis Handbook

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Description

Explore the latest developments in imaging techniques with the Handbook of Research on Deep Learning-Based Image Analysis Under Constrained and Unconstrained Environments. Part of the Advances in Computational Intelligence and Robotics series, this book examines how deep learning methods use hierarchical and multilayered architectures to learn complex mathematical models. As image analysis becomes a primary technique in fields like medical image analysis, optical character recognition, geology, and remote sensing, the need for efficient data representation grows. This text addresses the requirements for accurate interpretation and classification of data in both constrained and unconstrained environments. It is an essential resource for those studying the intersection of deep learning and advanced image analysis applications.

Key Features

This handbook from IGI Global covers image analysis in both constrained and unconstrained environments.

The text explores deep learning methods and their hierarchical, multilayered architectures for learning complex mathematical models.

Content includes applications in diverse domains such as medical image analysis, optical character recognition, geology, and remote sensing.

Part of the Advances in Computational Intelligence and Robotics series for specialized academic study.

Provides research on efficient data representation and complex models for accurate data classification and interpretation.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
25 December 2020
Listed Since
06 November 2020

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