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Statistical Pattern Recognition

Statistical pattern recognition relates to the use of statistical techniques for analysing data measurements in order to extract;

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Statistical Pattern Recognition

Statistical pattern recognition relates to the use of statistical techniques for analysing data measurements in order to extract;

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Introduction to Statistical Pattern Recognition

This completely revised second edition presents an introduction to statistical pattern recognition. Pattern recognition in general covers a;

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Structural, Syntactic, and Statistical Pattern Recognition

This book constitutes the proceedings of the Joint IAPR International Workshop on Structural Syntactic, and Statistical Pattern Recognition;

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Applications of Pattern Recognition

This monograph is intended to cover several major applications of pattern recognition. After a brief introduction to pattern recognition;

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Pattern Recognition

discriminant analysis, feature extraction, error estimation, cluster analysis (together sometimes called statistical pattern recognition), grammatical;

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Structural, Syntactic, and Statistical Pattern Recognition

This book constitutes the proceedings of the Joint IAPR International Workshop on Structural, Syntactic, and Statistical Pattern;

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Pattern Recognition and Neural Networks

Ripley brings together two crucial ideas in pattern recognition: statistical methods and machine learning via neural networks. He brings;

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Pattern Recognition in Biology

Pattern recognition is the research area that studies the operation and design of systems that recognise patterns in data. It encloses;

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Pattern Recognition in Nanoscience, Environmental Engineering & Archeology

(together sometimes called statistical pattern recognition), grammatical inference and parsing (sometimes called syntactical pattern recognition;

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Pattern Recognition and Artificial Intelligence

intelligence, such as statistical, structural and syntactic pattern recognition, machine learning, data mining, neural networks, computer vision;

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Pattern Recognition and Artificial Intelligence

of pattern recognition and artificial intelligence, such as statistical, structural and syntactic pattern recognition, machine learning, data mining;

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

in the field. On the basic methods in pattern recognition and computer vision, topics range from statistical pattern recognition to array;

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Introduction To Pattern Recognition

This book is an introduction to pattern recognition, meant for undergraduate and graduate students in computer science and related fields;

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Pattern Recognition

The heart of pattern recognition concepts, methods and applications are explored in this textbook, using statistical, syntactic and neural;

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Pattern Recognition

This book constitutes the refereed proceedings of the 35th German Conference on Pattern Recognition, GCPR 2013, held in Saarbrücken;

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Pattern Recognition

learning and pattern recognition; mathematical foundations, statistical data analysis and models; motion and segmentation; pose, face and gesture;

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Random Graphs for Statistical Pattern Recognition

resource presents: a detailed look at the application of random graphs to pattern recognition; extensive examples of applications of the graphs;

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Digital Speech Processing

recognition based on statistical pattern recognition, and more.;

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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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Pattern Classification

Classification sheds new light on the relationship between seemingly unrelated approaches to pattern recognition, including statistical methods;

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On Statistical Pattern Recognition in Independent Component Analysis Mixture Modelling

component analysis mixture modelling (ICAMM). This thesis defines a novel formalism for pattern recognition and classification based on ICAMM, which;

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An Elementary Introduction to Statistical Learning Theory

is a comprehensive and accessible primer on the rapidly evolving fields of statistical pattern recognition and statistical learning theory;

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Perspectives on Pattern Recognition

Pattern recognition involves tasks such as pattern identification, feature extraction from them and pattern classification in categories;

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Pattern Recognition And Big Data

evolution and recent developments of various pattern recognition methodologies, ranging from statistical, linguistic, fuzzy-set-theoretic, neural;

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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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Dissimilarity Representation For Pattern Recognition, The

This book provides a fundamentally new approach to pattern recognition in which objects are characterized by relations to other objects;

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