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Friday, July 31, 2020 | History

2 edition of Statistical pattern recognition. found in the catalog.

Statistical pattern recognition.

Chi-hau Chen

Statistical pattern recognition.

by Chi-hau Chen

  • 129 Want to read
  • 14 Currently reading

Published by Hayden Book Co. in Rochelle Park, N.J .
Written in English

    Subjects:
  • Optical pattern recognition

  • Classifications
    LC ClassificationsQ327 C42
    The Physical Object
    Pagination236p.
    Number of Pages236
    ID Numbers
    Open LibraryOL18522733M

    Synopsis This textbook is about statistical pattern recognition. It is intended as a compendium for students studying the field and is particularly written with the aim of facilitating student learning. The main branches covered are supervised classification, clustering, dimensionality reduction, and regression from a machine learning perspective.5/5(1). Additional Physical Format: Online version: Chen, C.H. (Chi-hau), Statistical pattern recognition. Rochelle Park, N.J., Hayden Book Co. [].

      Purchase Artificial Neural Networks and Statistical Pattern Recognition, Volume 11 - 1st Edition. Print Book & E-Book. ISBN , Book Edition: 1. "Statistical pattern recognition relates to the use of statistical techniques for analysing data measurements in order to extract information and make justified decisions. It is a very active area of study and research, which has seen many advances in recent years.

    Pattern recognition is the automated recognition of patterns and regularities in data. It has applications in statistical data analysis, signal processing, image analysis, information retrieval, bioinformatics, data compression, computer graphics and machine learning. Pattern recognition has its origins in statistics and engineering; some modern approaches to pattern recognition include the use of machine learning, . A Statistical Approach to Neural Networks for Pattern Recognition successfully connects logistic regression and linear discriminant analysis, thus making it a critical reference and self-study guide for students and professionals alike in the fields of mathematics, statistics, computer science, and .


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Statistical pattern recognition by Chi-hau Chen Download PDF EPUB FB2

The book is aimed primarily at senior undergraduate and graduate students studying statistical pattern recognition, pattern processing, neural networks, and data mining, in both statistics and engineering departments.

It is also an excellent source of reference for technical professionals working in advanced information development environments/5(3). From the Back Cover.

Statistical pattern recognition relates to the use of statistical techniques for analysing data measurements in order to extract information and make justified decisions. It is a very active area of study and research, which has seen many advances in recent years.

Applications such as data mining, web searching, Cited by: Robert J. Schalkoff is the author of Pattern Recognition: Statistical, Structural and Neural Approaches, published by by:   About this book. Statistical pattern recognition is a very active area of study and research, which has seen many advances in recent years.

New and emerging applications - such as data mining, web searching, multimedia data retrieval, face recognition, and cursive handwriting recognition - require robust and efficient pattern recognition techniques.

Statistical decision and estimation, which are the main subjects of this book, are regarded as fundamental to the study of pattern recognition. This book is appropriate as a text for introductory courses in pattern recognition and as a reference book for workers in the field.

Each chapter contains computer projects as well as exercises/5(7). About this book Statistical pattern recognition relates to the use of statistical techniques for analysing Statistical pattern recognition.

book measurements in order to extract information and make justified decisions. It is a very active area of study and research, which has seen many advances in recent years. This completely revised second edition presents an introduction to statistical pattern recognition.

Pattern recognition in general covers a wide range of problems: it is applied to engineering problems, such as character readers and wave form analysis as well /5.

Statistical Pattern Recognition, 3rd Edition | Wiley Statistical pattern recognition relates to the use of statistical techniques for analysing data measurements in order to extract information and make justified decisions.

It is a very active area of study and research, which has seen many advances in recent years. Statistical decision and estimation, which are the main subjects of this book, are regarded as fundamental to the study of pattern recognition.

This book is appropriate as a text for introductory courses in pattern recognition and as a reference book for workers in the field.

Each chapter contains computer projects as well as exercises. Statistical pattern recognition Introduction This book describes basic pattern recognition procedures, together with practical appli- cations of the techniques on real-world problems.

A strong emphasis is placed on the statistical theory of discrimination, but clustering also receives some attention. From the Back Cover. Statistical pattern recognition relates to the use of statistical techniques for analysing data measurements in order to extract information and make justified decisions.

It is a very active area of study and research, which has seen many advances in recent years. Applications such as data mining, web searching, 5/5(1). About The Book: This book explores the heart of pattern recognition concepts, methods and applications using statistical, syntactic and neural approaches.

Divided into four sections, it clearly. Likewise, he is forthcoming in critically evaluating techniques. Although this book is called an “introduction,” it is neither easy nor a tutorial.

The author developed it for use in a graduate-level course in statistical pattern recognition. A good undergraduate background in statistics, linear.

Explores the heart of pattern recognition concepts, methods and applications using statistical, syntactic and neural approaches. Divided into four sections, it clearly demonstrates the similarities and differences among the three approaches/5(16). Statistical pattern recognition relates to the use of statistical techniques for analysing data measurements in order to extract information and make justified decisions.Ê It is a very active area of study and research, which has seen many advances in recent years.

Statistical Pattern Recognition quantity. Add to cart. Downloadable to all your devices (MAC, PC, iPhone, iPad, Android) Immediate Access & no expiration date. Keep the book forever; Downloadable, high-quality PDF format, ideal for printing. Key Features. Provides the necessary background material to understand machine learning such as statistics, probability, linear algebra, and calculus.

Complete coverage of the generative approach to statistical pattern recognition and the discriminative approach to statistical machine learning. Statistical pattern recognition relates to the use of statistical techniques for analysing data measurements in order to extract information and make justified decisions.

It is a very active area of study and research, which has seen many advances in recent years/5(12). Statistical analysis, Pattern perception -- Statistical methods, Reconnaissance optique des données, PATTERN RECOGNITION, Statistik, Reconnaissance optique des donnees Publisher Rochelle Park, N.J., Hayden Book Co Collection inlibrary; printdisabled; internetarchivebooks Digitizing sponsor Kahle/Austin Foundation Contributor Internet Archive Pages: Statistical pattern recognition is a very active area of study and research, which has seen many advances in recent years.

New and emerging applications - such as data mining, web searching, multimedia data retrieval, face recognition, and cursive handwriting recognition - require robust and efficient pattern recognition techniques. "This accessible monograph seeks to provide a comprehensive introduction to the fields of pattern recognition and machine learning.

It presents a unified treatment of well-known statistical pattern recognition techniques. The book can be used by advanced undergraduates and graduate students .Statistical pattern recognition relates to the use of statistical techniques for analysing data measurements in order to extract information and make justified decisions.

It is a very active area of study and research, which has seen many advances in recent years.Open Library is an open, editable library catalog, building towards a web page for every book ever published. Statistical pattern recognition by C. H. Chen,Hayden Book Co.

edition, in English Statistical pattern by: