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Springer Context-Enhanced Information Fusion Book

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Description

Explore the fundamental theory and latest methods for integrating contextual information into fusion process design. This Springer publication, part of the Advances in Computer Vision and Pattern Recognition series, provides a comprehensive review of high- and low-level information fusion problems. Written by international experts, the text covers performance evaluation under demanding conditions and essential design principles. The content focuses on approaches that combine research from different communities to overcome the limitations of single techniques. This book serves as a detailed resource for understanding how domain knowledge can boost real-world performance in computer vision and pattern recognition applications.

Key Features

This Springer text reviews fundamental theory and modern methods for including contextual information in fusion process design.

The book covers both high-level and low-level information fusion problems for advanced research applications.

Chapters are contributed by leading international experts spanning numerous developments and practical applications.

The content focuses on integrating research from different communities to improve results beyond single technique limitations.

Learn design principles and performance evaluation methods for use under highly demanding conditions.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
17 April 2016
Listed Since
09 December 2015

Barcode

No barcode data available

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