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Wavelet Theory Approach To Pattern Recognition (2nd Edition)

The 2nd edition is an update of the book Wavelet Theory and its Application to Pattern Recognition published in 2000. Three new chapters;

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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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Matrix Methods in Data Mining and Pattern Recognition

mining and pattern recognition. Adopting an application-oriented approach, the author introduces matrix theory and decompositions, describes how;

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Introduction to Pattern Recognition

Introduction to Pattern Recognition: A Matlab Approach is an accompanying manual to Theodoridis/Koutroumbas' Pattern Recognition.

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Wavelets

With applications in pattern recognition, data compression and numerical analysis, the wavelet transform is a key area of modern;

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Correlation Pattern Recognition

signal processing theory, the pattern recognition metrics, and the practical application know-how from basic premises. It shows both digital and;

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Correlation Pattern Recognition

signal processing theory, the pattern recognition metrics, and the practical application know-how from basic premises. It shows both digital and;

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Optical Pattern Recognition

implementations and signal processing techniques. The first chapter is devoted to pattern recognition performed with optical correlators. Later chapters;

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Pattern Recognition and Image Preprocessing

Describing non-parametric and parametric theoretic classification and the training of discriminant functions, this second edition includes;

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Statistical Pattern Recognition

efficient pattern recognition techniques. This third edition provides an introduction to statistical pattern theory and techniques, with material;

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Statistical Pattern Recognition

efficient pattern recognition techniques. This third edition provides an introduction to statistical pattern theory and techniques, with material;

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Journal of Approximation Theory and Applied Mathematics - 2013 Vol. 1 and Vol. 2

: Approximation theory (with a focus on wavelets) and applications in mathematics like numerical analysis, statistics or financial mathematics. Contents;

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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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Genetic Algorithms for Pattern Recognition

, accomplish several objectives: they provide insight into the theory of genetic algorithms; they develop pattern recognition theory in light;

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Genetic Algorithms for Pattern Recognition

, accomplish several objectives: they provide insight into the theory of genetic algorithms; they develop pattern recognition theory in light;

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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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Wavelet Active Media Technology And Information Processing - Proceedings Of The International Computer Conference 2006 (In 2 Volumes)

Wavelet analysis has gained recognition as a useful tool for analyzing time-frequency, and is playing an important role in signal and;

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Combining Pattern Classifiers

A unified, coherent treatment of current classifier ensemble methods, from fundamentals of pattern recognition to ensemble feature;

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Pattern Classification

information on key new topics such as neural networks and statistical pattern recognition, the theory of machine learning, and the theory;

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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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Graph-Based Representations in Pattern Recognition

recognition, image analysis, graph theory, and also the application of graphs to pattern recognition problems in other fields like computational;

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Reading EEGs

Approach, 2nd Edition, is an easy-to-use, readable guide to learning EEG for neurology residents, clinical neurophysiology fellows, and;

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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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Information Theory in Computer Vision and Pattern Recognition

Information theory has proved to be effective for solving many computer vision and pattern recognition (CVPR) problems (such as image;

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Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications

Neural Networks; Mathematical Theory of Pattern Recognition; Pattern Recognition and Applications; Signals Analysis and Processing; Speech;

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Progress in Pattern Recognition Image Analysis Computer Vision and Applicatio

This book constitutes the refereed proceedings of the 20th Iberoamerican Congress on Pattern Recognition, CIARP 2015, held in Montevideo;

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Theory of Rank Links

This book is dedicated to the common theory creation problems of recognition systems. The proposed theory explores processes of recognition;

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