Statistical Pattern Recognition
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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: Elsevier
Release Date : 2013-10-22
Introduction 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 2013-10-22 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.
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.
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.
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.
Statistical Pattern Recognition
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Author : Chi-Hau Chen
language : en
Publisher:
Release Date : 1973-01-01
Statistical Pattern Recognition written by Chi-Hau Chen and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1973-01-01 with categories.
The text presents a concise, up-to-date treatment of the fundamental concepts and techniques in statistical pattern recognition. It offers broad and balanced views on various approaches that have widespread application not only in designing better recognition machines, but also in such areas as statistical data processing, communication and control systems, and the computer-related fields. Discussions of linear and non-linear classification theories, representation of patterns, and feature selection using information statistics provide a basic understanding of the subject. Parametric and nonparametric methods of recognition with unknown or partially unknown probability density functions are covered in great detail. An alternative approach to pattern recognition is discussed in a chapter devoted to sequential decision making, feature ordering, and the application of learning algorithms to communication theory and systems. (Author).
Structural Syntactic And Statistical Pattern Recognition
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Author : Xiao Bai
language : en
Publisher: Springer
Release Date : 2018-08-10
Structural Syntactic And Statistical Pattern Recognition written by Xiao Bai and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-08-10 with Computers categories.
This book constitutes the proceedings of the Joint IAPR International Workshop on Structural, Syntactic, and Statistical Pattern Recognition, S+SSPR 2018, held in Beijing, China, in August 2018. The 49 papers presented in this volume were carefully reviewed and selected from 75 submissions. They were organized in topical sections named: classification and clustering; deep learning and neurla networks; dissimilarity representations and Gaussian processes; semi and fully supervised learning methods; spatio-temporal pattern recognition and shape analysis; structural matching; multimedia analysis and understanding; and graph-theoretic methods.
Structural Syntactic And Statistical Pattern Recognition
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Author : Ana Fred
language : en
Publisher: Springer
Release Date : 2004-10-29
Structural Syntactic And Statistical Pattern Recognition written by Ana Fred and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-10-29 with Computers categories.
This volume contains all papers presented at SSPR 2004 and SPR 2004, hosted by the Instituto de Telecomunicac ̃ ̧oes/Instituto Superior T ́ ecnico, Lisbon, Portugal, August 18-20, 2004. This was the fourth time that the two workshops were held back-to-back. The SSPR was the tenth International Workshop on Structural and Synt- tic Pattern Recognition, and the SPR was the ?fth International Workshop on Statistical Techniques in Pattern Recognition. These workshops have traditi- ally been held in conjunction with ICPR (International Conference on Pattern Recognition), and are the major events for technical committees TC2 and TC1, respectively, of the International Association for Pattern Recognition (IAPR). The workshops were closely coordinated, being held in parallel, with plenary talks and a common session on hybrid systems. This was an attempt to resolve thedilemmaofhowto dealwiththeneedfornarrow-focusspecializedworkshops yet accommodate the presentation of new theories and techniques that blur the distinction between the statistical and the structural approaches. A total of 219 papers were received from many countries, with the subm- sion and reviewing processes being carried out separately for each workshop. A total of 59 papers were accepted for oral presentation and 64 for posters. In - dition, four invited speakers presented informative talks and overviews of their research. They were: Alberto Sanfeliu, from the Technical University of Cata- nia, Spain; Marco Gori, from the University of Siena, Italy; Nello Cristianini, from the University of California, USA; and Erkki Oja, from Helsinki University of Technology, Finland, winner of the 2004 Pierre Devijver Award.
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.