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Similarity-Based Pattern Recognition

This book constitutes the proceedings of the First International Workshop on Similarity Based Pattern Recognition, SIMBAD 2011, held;

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Similarity Based Pattern Recognition

This book constitutes the proceedings of the Third International Workshop on Similarity Based Pattern Analysis and Recognition, SIMBAD;

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Similarity-Based Pattern Recognition

This book constitutes the proceedings of the Second International Workshop on Similarity Based Pattern Analysis and Recognition, SIMBAD;

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Perspectives on Pattern Recognition

, based on the extracted features. This book presents topical research in the study of pattern recognition, including pattern recognition;

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Graph-Based Representations in Pattern Recognition

This book constitutes the refereed proceedings of the 11th IAPR-TC-15 International Workshop on Graph-Based Representation in Pattern;

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Human Gait Recognition

features, a proper similarity function for effective comparison of extracted features, and results by analyzing recognition rate.;

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Handbook Of Pattern Recognition And Computer Vision (3rd Edition)

The book provides an up-to-date and authoritative treatment of pattern recognition and computer vision, with chapters written by leaders;

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Computational Intelligence for Pattern Recognition

comprehensive material on the conceptually appealing and practically sound methodology and practices of CI-based pattern recognition.;

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Genetic Algorithms for Pattern Recognition

Solving pattern recognition problems involves an enormous amount of computational effort. By applying genetic algorithms - a computational;

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Genetic Algorithms for Pattern Recognition

Solving pattern recognition problems involves an enormous amount of computational effort. By applying genetic algorithms - a computational;

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Internet-Scale Pattern Recognition

recognition using machine intelligence. Based on the authors' research from the past 10 years, the text draws on concepts from pattern;

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Internet-Scale Pattern Recognition

recognition using machine intelligence. Based on the authors' research from the past 10 years, the text draws on concepts from pattern;

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Introduction To Pattern Recognition And Machine Learning

This book adopts a detailed and methodological algorithmic approach to explain the concepts of pattern recognition. While the text provides;

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Digital Speech Processing

recognition based on statistical pattern recognition, and more.;

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Graph-Based Representations in Pattern Recognition

This book constitutes the refereed proceedings of the 12th IAPR-TC-15 International Workshop on Graph-Based Representation in Pattern;

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Kernel Learning Algorithms for Face Recognition

kernel based face recognition method. This book provides researchers in pattern recognition and machine learning area with advanced face;

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Pattern Recognition

In this book, the authors present current research in the study of the practices, perspectives and challenges of pattern recognition;

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Image Processing and Pattern Recognition Based on Parallel Shift Technology

recognize the image. This book also describes the theoretical foundations of parallel shift technology and pattern recognition. Based on these;

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Image Processing and Pattern Recognition Based on Parallel Shift Technology

recognize the image. This book also describes the theoretical foundations of parallel shift technology and pattern recognition. Based on these;

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Graph-Based Representations in Pattern Recognition

This book constitutes the refereed proceedings of the 10th IAPR-TC-15 International Workshop on Graph-Based Representations in Pattern;

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MatConvNet Deep Learning and iOS Mobile App Design for Pattern Recognition

Opportunities is an essential reference source that presents a solution to developing intelligent pattern recognition Apps on iOS devices based on;

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MatConvNet Deep Learning and iOS Mobile App Design for Pattern Recognition

Opportunities is an essential reference source that presents a solution to developing intelligent pattern recognition Apps on iOS devices based on;

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Pattern Recognition and Computational Intelligence Techniques Using Matlab

This book presents the complex topic of using computational intelligence for pattern recognition in a straightforward and applicable way;

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Artificial Neural Networks in Pattern Recognition

areas of neural network-and machine learning-based pattern recognition. They are organized in two sections: learning algorithms and;

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Pattern Recognition In Computati

A comprehensive overview of high-performance pattern recognition techniques and approaches to Computational Molecular Biology This book;

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Artificial Neural Networks for Pattern Recognition

researchers and practitioners working in all areas of neural network- and machine learning-based pattern recognition to present and discuss the latest;

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Pattern Recognition and Machine Vision

of DNA Microarray Gene Expression Data based on Pattern Recognition Methods, PRMV Applications.;

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