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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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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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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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Data Complexity in Pattern Recognition

Automatic pattern recognition has uses in science and engineering, social sciences and finance. This book examines data complexity and its;

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Data Complexity in Pattern Recognition

Automatic pattern recognition has uses in science and engineering, social sciences and finance. This book examines data complexity and its;

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Analytic Pattern Matching

algorithms with very high precision using analytic combinatorics and analytic information theory. Part I compiles known results of pattern matching;

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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

; image coding, processing and analysis; segmentation, analysis of shape and texture; signals analysis and processing; theory of pattern;

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Pattern Theory

Pattern Theory: From Representation to Inference provides a comprehensive and accessible overview of the modern challenges in signal, data;

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Advances In Pattern Recognition - Proceedings Of The 6th International Conference

topics in biometrics speech and signal analysis. Many of the papers focus both on theory and application driven basic research pattern;

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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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Pattern Classification

in pattern classification, this book offers a theory-based engineering perspective on neural networks and statistical pattern classification. Pattern;

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Machine Learning and Data Mining in Pattern Recognition

This book constitutes the refereed proceedings of the 7th International Conference on Machine Learning and Data Mining in Pattern;

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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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Computational Intelligence in Pattern Recognition

This book presents practical development experiences in different areas of data analysis and pattern recognition, focusing on soft;

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Economic Growth in Theory and Practice

The book describes the practical process of economic growth both in developed and less developed countries, and presents a unified theory;

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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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Combining Pattern Classifiers

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

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A Transformational Theory of Aesthetics

This book develops a theory of picture perception and aesthetic response, arguing that images can generate in us a complex pattern;

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A Transformation Theory of Aesthetics

This book develops a theory of picture perception and aesthetic response, arguing that images can generate in us a complex pattern;

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

The two-volume set LNCS 8258 and 8259 constitutes the refereed proceedings of the 18th Iberoamerican Congress on Pattern Recognition, CIARP;

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Pattern Recognition and Computational Intelligence Techniques Using Matlab

pattern recognition and the computational intelligence using Matlab; Includes mixtures of theory, math, and algorithms, letting readers;

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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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Deterministic Learning Theory for Identification, Recognition, and Control

Deterministic Learning Theory for Identification, Recognition, and Control presents a unified conceptual framework for knowledge;

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Deterministic Learning Theory for Identification, Recognition, and Control

Deterministic Learning Theory for Identification, Recognition, and Control presents a unified conceptual framework for knowledge;

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