This textbook provides an overview of theories, methodologies, and recent developments in the field of statistical learning and statistical analysis for visual pattern modeling and computing. It describes the solid theoretical foundation, provides a complete summary of the latest advances, and presents typical issues to be considered in making a real system for visual information processing. This book: presents the fundamentals of statistical pattern recognition and statistical learning; discusses pattern representation and classification; provides a broad survey of recent advances in statistical learning and pattern analysis; introduces the supervised learning of visual patterns in images; covers visual pattern analysis in video; and, includes an in-depth discussion of information processing in the cognitive process. This guide to intelligent visual information processing systems is rich in examples, and will provide researchers and graduate students with a self-contained survey of the topic.
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