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Pattern Recognition

Pattern Recognition Book
Author : J. P. Marques de Sá
Publisher : Springer Science & Business Media
Release : 2001
ISBN : 9783540422976
Language : En, Es, Fr & De

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Book Description :

CD-ROM contains: Datasets -- Software tools.

Pattern Recognition

Pattern Recognition Book
Author : William Gibson
Publisher : Penguin
Release : 2003-02-03
ISBN : 1101146419
Language : En, Es, Fr & De

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Book Description :

“Pattern Recognition is William Gibson’s best book since he rewrote all the rules in Neuromancer.”—Neil Gaiman, author of American Gods “One of the first authentic and vital novels of the 21st century.”—The Washington Post Book World The accolades and acclaim are endless for William Gibson's coast-to-coast bestseller. Set in the post-9/11 present, Pattern Recognition is the story of one woman's never-ending search for the now... Cayce Pollard is a new kind of prophet—a world-renowned “coolhunter” who predicts the hottest trends. While in London to evaluate the redesign of a famous corporate logo, she’s offered a different assignment: find the creator of the obscure, enigmatic video clips being uploaded to the internet—footage that is generating massive underground buzz worldwide. Still haunted by the memory of her missing father—a Cold War security guru who disappeared in downtown Manhattan on the morning of September 11, 2001—Cayce is soon traveling through parallel universes of marketing, globalization, and terror, heading always for the still point where the three converge. From London to Tokyo to Moscow, she follows the implications of a secret as disturbing—and compelling—as the twenty-first century promises to be...

Pattern Recognition and Machine Learning

Pattern Recognition and Machine Learning Book
Author : Christopher M. Bishop
Publisher : Springer Verlag
Release : 2006-08-17
ISBN : 9780387310732
Language : En, Es, Fr & De

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Book Description :

This is the first text on pattern recognition to present the Bayesian viewpoint, one that has become increasing popular in the last five years. It presents approximate inference algorithms that permit fast approximate answers in situations where exact answers are not feasible. It provides the first text to use graphical models to describe probability distributions when there are no other books that apply graphical models to machine learning. It is also the first four-color book on pattern recognition. The book is suitable for courses on machine learning, statistics, computer science, signal processing, computer vision, data mining, and bioinformatics. Extensive support is provided for course instructors, including more than 400 exercises, graded according to difficulty. Example solutions for a subset of the exercises are available from the book web site, while solutions for the remainder can be obtained by instructors from the publisher.

Pattern Recognition

Pattern Recognition Book
Author : Sergios Theodoridis,Konstantinos Koutroumbas
Publisher : Elsevier
Release : 2006-04-07
ISBN : 9780080513614
Language : En, Es, Fr & De

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Book Description :

Pattern recognition is a fast growing area with applications in a widely diverse number of fields such as communications engineering, bioinformatics, data mining, content-based database retrieval, to name but a few. This new edition addresses and keeps pace with the most recent advancements in these and related areas. This new edition: a) covers Data Mining, which was not treated in the previous edition, and is integrated with existing material in the book, b) includes new results on Learning Theory and Support Vector Machines, that are at the forefront of today's research, with a lot of interest both in academia and in applications-oriented communities, c) for the first time treats audio along with image applications since in today's world the most advanced applications are treated in a unified way and d) the subject of classifier combinations is treated, since this is a hot topic currently of interest in the pattern recognition community. * The latest results on support vector machines including v-SVM's and their geometric interpretation * Classifier combinations including the Boosting approach * State-of-the-art material for clustering algorithms tailored for large data sets and/or high dimensional data, as required by applications such as web-mining and bioinformatics * Coverage of diverse applications such as image analysis, optical character recognition, channel equalization, speech recognition and audio classification

Pattern Classification

Pattern Classification Book
Author : Richard O. Duda,Peter E. Hart,David G. Stork
Publisher : John Wiley & Sons
Release : 2012-11-09
ISBN : 111858600X
Language : En, Es, Fr & De

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Book Description :

The first edition, published in 1973, has become a classicreference in the field. Now with the second edition, readers willfind information on key new topics such as neural networks andstatistical pattern recognition, the theory of machine learning,and the theory of invariances. Also included are worked examples,comparisons between different methods, extensive graphics, expandedexercises and computer project topics. An Instructor's Manual presenting detailed solutions to all theproblems in the book is available from the Wiley editorialdepartment.

Pattern Recognition

Pattern Recognition Book
Author : Katrin Franke,Klaus-Robert Müller,Bertram Nickolay,Ralf Schäfer
Publisher : Springer Science & Business Media
Release : 2006-09-11
ISBN : 3540444122
Language : En, Es, Fr & De

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Book Description :

This book constitutes the refereed proceedings of the 28th Symposium of the German Association for Pattern Recognition, DAGM 2006. The book presents 32 revised full papers and 44 revised poster papers together with 5 invited papers. Topical sections include image filtering, restoration and segmentation, shape analysis and representation, recognition, categorization and detection, computer vision and image retrieval, machine learning and statistical data analysis, biomedical data analysis, and more.

Pattern Recognition Principles

Pattern Recognition Principles Book
Author : Julius T. Tou,Rafael C. Gonzalez
Publisher : Unknown
Release : 1977
ISBN : 0987650XXX
Language : En, Es, Fr & De

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Book Description :

Decision functions. Pattern classification by distance functions. Pattern classification by likelihood functions. Trainable pattern classifiers-the deterministic approach. Trainable pattern classifiers - the statistical approach. Pattern preprocessing and feature selection. Syntatic pattern recognition. Bibliography. Index.

Neural Networks for Pattern Recognition

Neural Networks for Pattern Recognition Book
Author : Christopher M. Bishop
Publisher : Oxford University Press
Release : 1995-11-23
ISBN : 0198538642
Language : En, Es, Fr & De

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Book Description :

`Readers will emerge with a rigorous statistical grounding in the theory of how to construct and train neural networks in pattern recognition' New Scientist

Pattern Recognition with Fuzzy Objective Function Algorithms

Pattern Recognition with Fuzzy Objective Function Algorithms Book
Author : James C. Bezdek
Publisher : Springer Science & Business Media
Release : 2013-03-13
ISBN : 147570450X
Language : En, Es, Fr & De

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Book Description :

The fuzzy set was conceived as a result of an attempt to come to grips with the problem of pattern recognition in the context of imprecisely defined categories. In such cases, the belonging of an object to a class is a matter of degree, as is the question of whether or not a group of objects form a cluster. A pioneering application of the theory of fuzzy sets to cluster analysis was made in 1969 by Ruspini. It was not until 1973, however, when the appearance of the work by Dunn and Bezdek on the Fuzzy ISODATA (or fuzzy c-means) algorithms became a landmark in the theory of cluster analysis, that the relevance of the theory of fuzzy sets to cluster analysis and pattern recognition became clearly established. Since then, the theory of fuzzy clustering has developed rapidly and fruitfully, with the author of the present monograph contributing a major share of what we know today. In their seminal work, Bezdek and Dunn have introduced the basic idea of determining the fuzzy clusters by minimizing an appropriately defined functional, and have derived iterative algorithms for computing the membership functions for the clusters in question. The important issue of convergence of such algorithms has become much better understood as a result of recent work which is described in the monograph.

Pattern Recognition and Neural Networks

Pattern Recognition and Neural Networks Book
Author : Brian D. Ripley
Publisher : Cambridge University Press
Release : 2007
ISBN : 9780521717700
Language : En, Es, Fr & De

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Book Description :

This 1996 book explains the statistical framework for pattern recognition and machine learning, now in paperback.

Image Processing and Pattern Recognition

Image Processing and Pattern Recognition Book
Author : Cornelius T. Leondes
Publisher : Elsevier
Release : 1998-02-09
ISBN : 9780080551449
Language : En, Es, Fr & De

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Book Description :

Image Processing and Pattern Recognition covers major applications in the field, including optical character recognition, speech classification, medical imaging, paper currency recognition, classification reliability techniques, and sensor technology. The text emphasizes algorithms and architectures for achieving practical and effective systems, and presents many examples. Practitioners, researchers, and students in computer science, electrical engineering, andradiology, as well as those working at financial institutions, will value this unique and authoritative reference to diverse applications methodologies. Coverage includes: Optical character recognition Speech classification Medical imaging Paper currency recognition Classification reliability techniques Sensor technology Algorithms and architectures for achieving practical and effective systems are emphasized, with many examples illustrating the text. Practitioners, researchers, and students in computer science, electrical engineering, and radiology, as wellk as those working at financial institutions, will find this volume a unique and comprehensive reference source for this diverse applications area.

Pattern Recognition and Classification

Pattern Recognition and Classification Book
Author : Geoff Dougherty
Publisher : Springer Science & Business Media
Release : 2012-10-28
ISBN : 1461453232
Language : En, Es, Fr & De

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Book Description :

The use of pattern recognition and classification is fundamental to many of the automated electronic systems in use today. However, despite the existence of a number of notable books in the field, the subject remains very challenging, especially for the beginner. Pattern Recognition and Classification presents a comprehensive introduction to the core concepts involved in automated pattern recognition. It is designed to be accessible to newcomers from varied backgrounds, but it will also be useful to researchers and professionals in image and signal processing and analysis, and in computer vision. Fundamental concepts of supervised and unsupervised classification are presented in an informal, rather than axiomatic, treatment so that the reader can quickly acquire the necessary background for applying the concepts to real problems. More advanced topics, such as semi-supervised classification, combining clustering algorithms and relevance feedback are addressed in the later chapters. This book is suitable for undergraduates and graduates studying pattern recognition and machine learning.

Introduction to Statistical Pattern Recognition

Introduction to Statistical Pattern Recognition Book
Author : Keinosuke Fukunaga
Publisher : Elsevier
Release : 2013-10-22
ISBN : 0080478654
Language : En, Es, Fr & De

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Book Description :

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.

Neural Networks and Pattern Recognition

Neural Networks and Pattern Recognition Book
Author : Omid Omidvar,Judith Dayhoff
Publisher : Elsevier
Release : 1997-10-29
ISBN : 9780080512617
Language : En, Es, Fr & De

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Book Description :

This book is one of the most up-to-date and cutting-edge texts available on the rapidly growing application area of neural networks. Neural Networks and Pattern Recognition focuses on the use of neural networksin pattern recognition, a very important application area for neural networks technology. The contributors are widely known and highly respected researchers and practitioners in the field. Features neural network architectures on the cutting edge of neural network research Brings together highly innovative ideas on dynamical neural networks Includes articles written by authors prominent in the neural networks research community Provides an authoritative, technically correct presentation of each specific technical area

PATTERN RECOGNITION

PATTERN RECOGNITION Book
Author : Syed Thouheed Ahmed,Syed Muzamil Basha,Sajeev Ram Arumugam,Mallikarjun M Kodabagi
Publisher : MileStone Research Publications
Release : 2021-08-01
ISBN : 9354931375
Language : En, Es, Fr & De

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Book Description :

This book covers the primary and supportive topics on pattern recognition with respect to beginners understand-ability. The aspects of pattern recognition is value added with an introductory of machine learning terminologies. This book covers the aspects of pattern validation, recognition, computation and processing. The initial aspects such as data representation and feature extraction is reported with supportive topics such as computational algorithms and decision trees. This text book covers the aspects as reported. Par t - I In this part, the initial foundation aspects of pattern recognition is discussed with reference to probabilities role in influencing a pattern occurrence, pattern extraction and properties. Introduction: Definition of Pattern Recognition, Applications, Datasets for Pattern Recognition, Different paradigms for Pattern Recognition, Introduction to probability, events, random variables, Joint distributions and densities, moments. Estimation minimum risk estimators, problems. Representation: Data structures for Pattern Recognition, Representation of clusters, proximity measures, size of patterns, Abstraction of Data set, Feature extraction, Feature selection, Evaluation. Par t - II In Part - II of the text, the mathematical representation and computation algorithms for extracting and evaluating patterns are discussed. The basic algorithms of machine learning classifiers with Nearest neighbor and Naive Bayes is reported with value added validation process using decision trees. Computational Algorithms: Nearest neighbor algorithm, variants of NN algorithms, use of NN for transaction databases, efficient algorithms, Data reduction, prototype selection, Bayes theorem, minimum error rate classifier, estimation of probabilities, estimation of probabilities, comparison with NNC, Naive Bayesclassifier, Bayesian belief network. Decision Trees: Introduction, Decision Tree for Pattern Recognition, Construction of Decision Tree, Splittingat the nodes, Over-fitting& Pruning, Examples.

Pattern Recognition

Pattern Recognition Book
Author : Sankar K. Pal,Pal. Amita
Publisher : World Scientific
Release : 2001
ISBN : 9789812386533
Language : En, Es, Fr & De

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Book Description :

This volume, containing contributions by experts from all over the world, is a collection of 21 articles which present review and research material describing the evolution and recent developments of various pattern recognition methodologies, ranging from statistical, syntactic/linguistic, fuzzy-set-theoretic, neural, genetic-algorithmic and rough-set-theoretic to hybrid soft computing, with significant real-life applications. In addition, the book describes efficient soft machine learning algorithms for data mining and knowledge discovery. With a balanced mixture of theory, algorithms and applications, as well as up-to-date information and an extensive bibliography, Pattern Recognition: From Classical to Modern Approaches is a very useful resource. Contents: Pattern Recognition: Evolution of Methodologies and Data Mining (A Pal & S K Pal); Adaptive Stochastic Algorithms for Pattern Classification (M A L Thathachar & P S Sastry); Shape in Images (K V Mardia); Decision Trees for Classification: A Review and Some New Results (R Kothari & M Dong); Syntactic Pattern Recognition (A K Majumder & A K Ray); Fuzzy Sets as a Logic Canvas for Pattern Recognition (W Pedrycz & N Pizzi); Neural Network Based Pattern Recognition (V David Sanchez A); Networks of Spiking Neurons in Data Mining (K Cios & D M Sala); Genetic Algorithms, Pattern Classification and Neural Networks Design (S Bandyopadhyay et al.); Rough Sets in Pattern Recognition (A Skowron & R Swiniarski); Automated Generation of Qualitative Representations of Complex Objects by Hybrid Soft-Computing Methods (E H Ruspini & I S Zwir); Writing Speed and Writing Sequence Invariant On-line Handwriting Recognition (S-H Cha & S N Srihari); Tongue Diagnosis Based on Biometric Pattern Recognition Technology (K Wang et al.); and other papers. Readership: Graduate students, researchers and academics in pattern recognition.

Pattern Recognition

Pattern Recognition Book
Author : Rajjan Shinghal, Dr.
Publisher : OUP India
Release : 2006-03-02
ISBN : 9780195676853
Language : En, Es, Fr & De

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Book Description :

Pattern Recognition: Techniques and Applications introduces the concept of inductive learning and provides an exhaustive coverage of the procedures for Pattern Recognition. The book would serve as a textbook for senior undergraduate and master's engineering students. Written in a lucid and student-friendly style, the text encourages self-study and instils working knowledge of Pattern Recognition in a student.

Pattern Recognition and String Matching

Pattern Recognition and String Matching Book
Author : Dechang Chen,Xiuzhen Cheng
Publisher : Springer Science & Business Media
Release : 2013-12-01
ISBN : 1461302315
Language : En, Es, Fr & De

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Book Description :

The research and development of pattern recognition have proven to be of importance in science, technology, and human activity. Many useful concepts and tools from different disciplines have been employed in pattern recognition. Among them is string matching, which receives much theoretical and practical attention. String matching is also an important topic in combinatorial optimization. This book is devoted to recent advances in pattern recognition and string matching. It consists of twenty eight chapters written by different authors, addressing a broad range of topics such as those from classifica tion, matching, mining, feature selection, and applications. Each chapter is self-contained, and presents either novel methodological approaches or applications of existing theories and techniques. The aim, intent, and motivation for publishing this book is to pro vide a reference tool for the increasing number of readers who depend upon pattern recognition or string matching in some way. This includes students and professionals in computer science, mathematics, statistics, and electrical engineering. We wish to thank all the authors for their valuable efforts, which made this book a reality. Thanks also go to all reviewers who gave generously of their time and expertise.

Pattern Recognition and Data Mining

Pattern Recognition and Data Mining Book
Author : Sameer Singh,Maneesha Singh,Chid Apte,Petra Perner
Publisher : Springer Science & Business Media
Release : 2005-08-18
ISBN : 3540287574
Language : En, Es, Fr & De

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Book Description :

The two volume set LNCS 3686 and LNCS 3687 constitutes the refereed proceedings of the Third International Conference on Advances in Pattern Recognition, ICAPR 2005, held in Bath, UK in August 2005. The papers submitted to ICAPR 2005 were thoroughly reviewed by up to three referees per paper and less than 40% of the submitted papers were accepted. The first volume includes 73 contributions related to Pattern Recognition and Data Mining (which included papers from the tracks of pattern recognition methods, knowledge and learning, and data mining); topics addressed are pattern recognition, data mining, signal processing and OCR/ document analysis. The second volume contains 87 contributions related to Pattern Recognition and Image Analysis (which included papers from the applications track) and deals with security and surveillance, biometrics, image processing and medical imaging. It also contains papers from the Workshop on Pattern Recognition for Crime Prevention.

Pattern Recognition

Pattern Recognition Book
Author : M. Narasimha Murty,V. Susheela Devi
Publisher : Springer Science & Business Media
Release : 2011-05-25
ISBN : 0857294954
Language : En, Es, Fr & De

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Book Description :

Observing the environment and recognising patterns for the purpose of decision making is fundamental to human nature. This book deals with the scientific discipline that enables similar perception in machines through pattern recognition (PR), which has application in diverse technology areas. This book is an exposition of principal topics in PR using an algorithmic approach. It provides a thorough introduction to the concepts of PR and a systematic account of the major topics in PR besides reviewing the vast progress made in the field in recent times. It includes basic techniques of PR, neural networks, support vector machines and decision trees. While theoretical aspects have been given due coverage, the emphasis is more on the practical. The book is replete with examples and illustrations and includes chapter-end exercises. It is designed to meet the needs of senior undergraduate and postgraduate students of computer science and allied disciplines.