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A Pattern Recognition Approach to Electromyography Data

-pathway and zero crossing rate) to come up with a low complexity suitable feature extraction. Results are presented for EMG data and a comparison;

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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

A new approach to the issue of data quality in pattern recognition Detailing foundational concepts before introducing more complex;

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Fuzzy C-means Clustering using Pattern Recognition

selected fuzzy technique and on the problem to be solved. Most pattern recognition techniques involve treating the data as a variable applies;

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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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Advantages and Pitfalls of Pattern Recognition

Advantages and Pitfalls of Pattern Recognition presents various methods of pattern recognition and classification, useful to;

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Internet-Scale Pattern Recognition

keep up with data streams. Internet-Scale Pattern Recognition: New Techniques for Voluminous Data Sets and Data Clouds unveils computational;

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Internet-Scale Pattern Recognition

keep up with data streams. Internet-Scale Pattern Recognition: New Techniques for Voluminous Data Sets and Data Clouds unveils computational;

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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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Matrix Methods in Data Mining and Pattern Recognition

computing/numerical analysis course and graduate students in data mining and pattern recognition areas who need an introduction to linear algebra;

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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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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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Wavelet Theory Approach To Pattern Recognition (2nd Edition)

of wavelet theory to pattern recognition. The new book provides a bibliography of 170 references including the current state-of-the-art theory and;

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Pattern Recognition Applications in Engineering

are continually being developed within data analysis to further solve the challenges that come with professional strategy. Pattern recognition;

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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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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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Evolutionary Synthesis of Pattern Recognition Systems

in computer vision, pattern recognition, target recognition, machine learning, evolutionary learning, image processing, knowledge discovery and data;

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Pattern Recognition in Industry

explores pattern recognition technology and its concomitant role in extracting useful information to build technical and business models to gain;

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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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Pattern Recognition and Machine Intelligence

analytics; deep learning; spatial data science and engineering; and applications of pattern recognition and machine intelligence.;

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Pattern Recognition

Pattern recognition studies the operation and design of systems that recognise patterns in data. It encloses subdisciplines like;

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Pattern Recognition Algorithms for Data Mining

Pattern Recognition Algorithms for Data Mining addresses different pattern recognition (PR) tasks in a unified framework with both;

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Pattern Recognition Algorithms for Data Mining

Pattern Recognition Algorithms for Data Mining addresses different pattern recognition (PR) tasks in a unified framework with both;

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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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Pattern Recognition And Big Data

, evolutionary computing and rough-set-theoretic to hybrid soft computing, with significant real-life applications.Pattern Recognition and Big Data;

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