Tutorial On Statistical Pattern Recognition
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Tutorial On Statistical Pattern Recognition
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Author :
language : en
Publisher:
Release Date : 1987
Tutorial On Statistical Pattern Recognition written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1987 with categories.
Statistical Pattern Recognition
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Author : Andrew R. Webb
language : en
Publisher: John Wiley & Sons
Release Date : 2003-07-25
Statistical Pattern Recognition written by Andrew R. Webb and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-07-25 with Mathematics categories.
Statistical pattern recognition is a very active area of study andresearch, which has seen many advances in recent years. New andemerging applications - such as data mining, web searching,multimedia data retrieval, face recognition, and cursivehandwriting recognition - require robust and efficient patternrecognition techniques. Statistical decision making and estimationare regarded as fundamental to the study of pattern recognition. Statistical Pattern Recognition, Second Edition has been fullyupdated with new methods, applications and references. It providesa comprehensive introduction to this vibrant area - with materialdrawn from engineering, statistics, computer science and the socialsciences - and covers many application areas, such as databasedesign, artificial neural networks, and decision supportsystems. * Provides a self-contained introduction to statistical patternrecognition. * Each technique described is illustrated by real examples. * Covers Bayesian methods, neural networks, support vectormachines, and unsupervised classification. * Each section concludes with a description of the applicationsthat have been addressed and with further developments of thetheory. * Includes background material on dissimilarity, parameterestimation, data, linear algebra and probability. * Features a variety of exercises, from 'open-book' questions tomore lengthy projects. The book is aimed primarily at senior undergraduate and graduatestudents studying statistical pattern recognition, patternprocessing, neural networks, and data mining, in both statisticsand engineering departments. It is also an excellent source ofreference for technical professionals working in advancedinformation development environments. For further information on the techniques and applicationsdiscussed in this book please visit ahref="http://www.statistical-pattern-recognition.net/"www.statistical-pattern-recognition.net/a
Introduction To Statistical Pattern Recognition
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Author : Keinosuke Fukunaga
language : en
Publisher:
Release Date : 1972
Introduction To Statistical Pattern Recognition written by Keinosuke Fukunaga and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1972 with Computers categories.
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 as to brain modeling in biology and psychology. 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. Copyright © Libri GmbH. All rights reserved.
Instruction To Statistical Pattern Recognition
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Author : Keinosuke Fukunaga
language : en
Publisher: Elsevier
Release Date : 1972-01-01
Instruction To Statistical Pattern Recognition written by Keinosuke Fukunaga and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 1972-01-01 with Technology & Engineering categories.
Introduction to Statistical Pattern Recognition introduces the reader to statistical pattern recognition, with emphasis on statistical decision and estimation. Pattern recognition problems are discussed in terms of the eigenvalues and eigenvectors. Comprised of 11 chapters, this book opens with an overview of the formulation of pattern recognition problems. The next chapter is devoted to linear algebra, with particular reference to the properties of random variables and vectors. Hypothesis testing and parameter estimation are then discussed, along with error probability estimation and linear classifiers. The following chapters focus on successive approaches where the classifier is adaptively adjusted each time one sample is observed; feature selection and linear mapping for one distribution and multidistributions; and problems of nonlinear mapping. The final chapter describes a clustering algorithm and considers criteria for both parametric and nonparametric clustering. This monograph will serve as a text for the introductory courses of pattern recognition as well as a reference book for practitioners in the fields of mathematics and statistics.
Statistical Pattern Recognition
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Author : Keith D. Copsey
language : en
Publisher:
Release Date : 2011
Statistical Pattern Recognition written by Keith D. Copsey and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011 with categories.
Structural Syntactic And Statistical Pattern Recognition
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Author : Dit-Yan Yeung
language : en
Publisher: Springer
Release Date : 2006-08-09
Structural Syntactic And Statistical Pattern Recognition written by Dit-Yan Yeung and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-08-09 with Computers categories.
This is the proceedings of the 11th International Workshop on Structural and Syntactic Pattern Recognition, SSPR 2006 and the 6th International Workshop on Statistical Techniques in Pattern Recognition, SPR 2006, held in Hong Kong, August 2006 alongside the Conference on Pattern Recognition, ICPR 2006. 38 revised full papers and 61 revised poster papers are included, together with 4 invited papers covering image analysis, character recognition, bayesian networks, graph-based methods and more.
Statistical Pattern Recognition
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Author : Chi-hau Chen
language : en
Publisher: Hayden
Release Date : 1973
Statistical Pattern Recognition written by Chi-hau Chen and has been published by Hayden this book supported file pdf, txt, epub, kindle and other format this book has been release on 1973 with Psychology categories.
Pattern Recognition
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Author : Pierre A. Devijver
language : en
Publisher: Prentice Hall
Release Date : 1982
Pattern Recognition written by Pierre A. Devijver and has been published by Prentice Hall this book supported file pdf, txt, epub, kindle and other format this book has been release on 1982 with Psychology categories.
Introduction To Pattern Recognition
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Author : Menahem Friedman
language : en
Publisher: World Scientific
Release Date : 1999
Introduction To Pattern Recognition written by Menahem Friedman and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 1999 with Computers categories.
This book is an introduction to pattern recognition, meant for undergraduate and graduate students in computer science and related fields in science and technology. Most of the topics are accompanied by detailed algorithms and real world applications. In addition to statistical and structural approaches, novel topics such as fuzzy pattern recognition and pattern recognition via neural networks are also reviewed. Each topic is followed by several examples solved in detail. The only prerequisites for using this book are a one-semester course in discrete mathematics and a knowledge of the basic preliminaries of calculus, linear algebra and probability theory.
Structural Syntactic And Statistical Pattern Recognition
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Author : Niels da Vitoria Lobo
language : en
Publisher: Springer Science & Business Media
Release Date : 2008-11-24
Structural Syntactic And Statistical Pattern Recognition written by Niels da Vitoria Lobo and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-11-24 with Computers categories.
This book constitutes the refereed proceedings of the 12th International Workshop on Structural and Syntactic Pattern Recognition, SSPR 2008 and the 7th International Workshop on Statistical Techniques in Pattern Recognition, SPR 2008, held jointly in Orlando, FL, USA, in December 2008 as a satellite event of the 19th International Conference of Pattern Recognition, ICPR 2008. The 56 revised full papers and 42 revised poster papers presented together with the abstracts of 4 invited papers were carefully reviewed and selected from 175 submissions. The papers are organized in topical sections on graph-based methods, probabilistic and stochastic structural models for PR, image and video analysis, shape analysis, kernel methods, recognition and classification, applications, ensemble methods, feature selection, density estimation and clustering, computer vision and biometrics, pattern recognition and applications, pattern recognition, as well as feature selection and clustering.