Pattern Recognition

✏Book Title : Pattern Recognition
✏Author : Konstantinos Koutroumbas
✏Publisher : Academic Press
✏Release Date : 2008-11-26
✏Pages : 984
✏ISBN : 0080949126
✏Available Language : English, Spanish, And French

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✏Pattern Recognition Book Summary : This book considers classical and current theory and practice, of supervised, unsupervised and semi-supervised pattern recognition, to build a complete background for professionals and students of engineering. The authors, leading experts in the field of pattern recognition, have provided an up-to-date, self-contained volume encapsulating this wide spectrum of information. The very latest methods are incorporated in this edition: semi-supervised learning, combining clustering algorithms, and relevance feedback. · Thoroughly developed to include many more worked examples to give greater understanding of the various methods and techniques · Many more diagrams included--now in two color--to provide greater insight through visual presentation · Matlab code of the most common methods are given at the end of each chapter. · More Matlab code is available, together with an accompanying manual, via this site · Latest hot topics included to further the reference value of the text including non-linear dimensionality reduction techniques, relevance feedback, semi-supervised learning, spectral clustering, combining clustering algorithms. · An accompanying book with Matlab code of the most common methods and algorithms in the book, together with a descriptive summary, and solved examples including real-life data sets in imaging, and audio recognition. The companion book will be available separately or at a special packaged price (ISBN: 9780123744869). Thoroughly developed to include many more worked examples to give greater understanding of the various methods and techniques Many more diagrams included--now in two color--to provide greater insight through visual presentation Matlab code of the most common methods are given at the end of each chapter An accompanying book with Matlab code of the most common methods and algorithms in the book, together with a descriptive summary and solved examples, and including real-life data sets in imaging and audio recognition. The companion book is available separately or at a special packaged price (Book ISBN: 9780123744869. Package ISBN: 9780123744913) Latest hot topics included to further the reference value of the text including non-linear dimensionality reduction techniques, relevance feedback, semi-supervised learning, spectral clustering, combining clustering algorithms Solutions manual, powerpoint slides, and additional resources are available to faculty using the text for their course. Register at www.textbooks.elsevier.com and search on "Theodoridis" to access resources for instructor.

✏Book Title : Pattern Recognition
✏Author : Sergios Theodoridis
✏Publisher : Elsevier
✏Release Date : 2006-04-07
✏Pages : 856
✏ISBN : 0080513611
✏Available Language : English, Spanish, And French

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✏Pattern Recognition Book Summary : 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

✏Book Title : Pattern Recognition
✏Author : J.P. Marques de Sá
✏Publisher : Springer Science & Business Media
✏Release Date : 2012-12-06
✏Pages : 318
✏ISBN : 9783642566516
✏Available Language : English, Spanish, And French

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✏Pattern Recognition Book Summary : The book provides a comprehensive view of pattern recognition concepts and methods, illustrated with real-life applications in several areas. A CD-ROM offered with the book includes datasets and software tools, making it easier to follow in a hands-on fashion, right from the start.

✏Book Title : Pattern Recognition
✏Author : Brett Anderson
✏Publisher : Scientific e-Resources
✏Release Date : 2019-09-14
✏Pages :
✏ISBN : 9781839472398
✏Available Language : English, Spanish, And French

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✏Pattern Recognition Book Summary : Watching the environment and recognising patterns with the end goal of basic leadership is central to human instinct. This book manages the logical train that empowers comparable observation in machines through pattern recognition, which has application in differing innovation regions-character recognition, picture handling, modern computerization, web looks, discourse recognition, therapeutic diagnostics, target recognition, space science, remote detecting, information mining, biometric recognizable proof-to give some examples. This book is a composition of central subjects in pattern recognition utilizing an algorithmic approach. It gives a careful prologue to the ideas of pattern recognition and an efficient record of the real points in pattern recognition other than assessing the huge advance made in the field as of late. It incorporates fundamental strategies of pattern recognition, neural systems, bolster vector machines and choice trees. While hypothetical angles have been given due scope, the accentuation is more on the pragmatic. Pattern recognition has application in practically every field of human undertaking including topography, geology, space science and brain research. All the more particularly, it is helpful in bioinformatics, mental investigation, biometrics and a large group of different applications.

✏Book Title : Pattern Recognition in Biology
✏Author : Marsha S. Corrigan
✏Publisher : Nova Publishers
✏Release Date : 2007
✏Pages : 253
✏ISBN : 1600217168
✏Available Language : English, Spanish, And French

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✏Pattern Recognition in Biology Book Summary : Pattern recognition is the research area that studies the operation and design of systems that recognise patterns in data. It encloses subdisciplines like discriminant analysis, feature extraction, error estimation, cluster analysis (together sometimes called statistical pattern recognition), grammatical inference and parsing (sometimes called syntactical pattern recognition). Important application areas are image analysis, character recognition, speech analysis, man and machine diagnostics, person identification and industrial inspection. This book presents leading-edge research from around the world.

✏Book Title : Pattern Recognition and Neural Networks
✏Author : Brian D. Ripley
✏Publisher : Cambridge University Press
✏Release Date : 2007
✏Pages : 403
✏ISBN : 0521717701
✏Available Language : English, Spanish, And French

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✏Pattern Recognition and Neural Networks Book Summary : This 1996 book explains the statistical framework for pattern recognition and machine learning, now in paperback.

✏Book Title : Pattern Recognition
✏Author : M. Narasimha Murty
✏Publisher : Springer Science & Business Media
✏Release Date : 2011-05-25
✏Pages : 263
✏ISBN : 0857294954
✏Available Language : English, Spanish, And French

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✏Pattern Recognition Book Summary : 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.

✏Book Title : Neural Networks for Pattern Recognition
✏Author : Albert Nigrin
✏Publisher : MIT Press
✏Release Date : 1993
✏Pages : 413
✏ISBN : 0262140543
✏Available Language : English, Spanish, And French

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✏Neural Networks for Pattern Recognition Book Summary : In a simple and accessible way it extends embedding field theory into areas of machine intelligence that have not been clearly dealt with before. Neural Networks for Pattern Recognition takes the pioneering work in artificial neural networks by Stephen Grossberg and his colleagues to a new level. In a simple and accessible way it extends embedding field theory into areas of machine intelligence that have not been clearly dealt with before. Following a tutorial of existing neural networks for pattern classification, Nigrin expands on these networks to present fundamentally new architectures that perform realtime pattern classification of embedded and synonymous patterns and that will aid in tasks such as vision, speech recognition, sensor fusion, and constraint satisfaction. Nigrin presents the new architectures in two stages. First he presents a network called Sonnet 1 that already achieves important properties such as the ability to learn and segment continuously varied input patterns in real time, to process patterns in a context sensitive fashion, and to learn new patterns without degrading existing categories. He then removes simplifications inherent in Sonnet 1 and introduces radically new architectures. These architectures have the power to classify patterns that may have similar meanings but that have different external appearances (synonyms). They also have been designed to represent patterns in a distributed fashion, both in short-term and long-term memory.

✏Book Title : Pattern Recognition
✏Author : I. T. Turbovich
✏Publisher :
✏Release Date : 1970
✏Pages : 322
✏ISBN : STANFORD:36105031732618
✏Available Language : English, Spanish, And French

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✏Pattern Recognition Book Summary : The recognition of sonic and visual patterns is discussed. Special attention is devoted to the algorithmization of processes for creating signs and arriving at solutions. Also examined are the principles of constructing algorithm-recognition machines, methods of processing descriptions, the evaluation of similarities, and other problems connected with theory and experimentation of pattern recognition. There is a bibliography of 180 titles.

✏Book Title : Pattern Recognition
✏Author : Mikhail Moiseevich Bongard
✏Publisher : Spartan Publications
✏Release Date : 1970
✏Pages : 253
✏ISBN : UOM:39015002023417
✏Available Language : English, Spanish, And French

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✏Pattern Recognition Book Summary : In this book, Russian physicist and computer scientist M.M. Bongard presents his ideas on how to use computers to study the process of pattern recognition, which is considered it to be at the foundation of mental processing. The text explains two training programs for recognition and classification: Arithmetic and Geometry. Also introduced in the Appendix are a number of visual puzzles, which have become known as "Bongard Problems" (BP's). BP's are primarily problems of visual categorization, and thus can play an important role in the disciplines of cognitive psychology and cognitive science.

✏Book Title : Pattern Recognition Architectures Algorithms and Applications
✏Author :
✏Publisher :
✏Release Date :
✏Pages :
✏ISBN : 9789814506304
✏Available Language : English, Spanish, And French

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✏Pattern Recognition Architectures Algorithms and Applications Book Summary :

✏Book Title : Pattern Recognition
✏Author : Sankar K. Pal
✏Publisher : World Scientific
✏Release Date : 2001
✏Pages : 612
✏ISBN : 981238653X
✏Available Language : English, Spanish, And French

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✏Pattern Recognition Book Summary : 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.

✏Book Title : Pattern Classification
✏Author : Richard O. Duda
✏Publisher : John Wiley & Sons
✏Release Date : 2012-11-09
✏Pages : 680
✏ISBN : 9781118586006
✏Available Language : English, Spanish, And French

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✏Pattern Classification Book Summary : 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.

✏Book Title : Pattern Recognition
✏Author : Pierre A. Devijver
✏Publisher : Prentice Hall
✏Release Date : 1982
✏Pages : 448
✏ISBN : UOM:39015002086604
✏Available Language : English, Spanish, And French

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✏Pattern Recognition Book Summary :

✏Book Title : Attention and Pattern Recognition
✏Author : Nick Lund
✏Publisher : Routledge
✏Release Date : 2002-01-04
✏Pages : 160
✏ISBN : 9781134570256
✏Available Language : English, Spanish, And French

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✏Attention and Pattern Recognition Book Summary : Whilst attention is a term commonly used in everyday life, for many years psychologists have struggled in their attempts to explain what it actually means. Attention and Pattern Recognition introduces the main psychological research on attention and the methods that have been used to study it. It also examines the subdivisions of focused and divided attention and explores how people recognise patterns and faces. The Routledge Modular Psychology series is a completely new approach to introductory level psychology, tailor made to the new modular style of teaching. Each short book covers a topic in more detail than any large textbook can, allowing teacher and student to select material exactly to suit any particular course or project. The books have been written especially for those students new to higher level study, whether at school home, college or university. They include specially designed features to help with technique, such as model essay at an average level with an examiners comments to show how extra marks can be gained. The authors are all examiners and teachers at introductory level.

✏Book Title : Statistical Pattern Recognition
✏Author : Andrew Webb
✏Publisher : Newnes
✏Release Date : 1999
✏Pages : 454
✏ISBN : 0340741643
✏Available Language : English, Spanish, And French

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✏Statistical Pattern Recognition Book Summary : From engineering to statistics, from computer science to the social sciences, 'Statistical Pattern Recognition' shows how closely these fields are related in terms of application. Areas such as database design, artificial neural networks and decision support are common to all. The author also examines the more diverse theoretical topics available to the practitioner or researcher, such as outlier detection and model selection, and concludes each section with a description of the wider range of practical applications and the future developments of theoretical techniques.Providing an introduction to statistical pattern theory and techniques that draws on material from a wide range of fields, 'Statistical Pattern Recognition' is a must for all technical professionals wanting to get up to speed on the recent advances in this dymanic subject area.

✏Book Title : NETLAB
✏Author : Ian Nabney
✏Publisher : Springer Science & Business Media
✏Release Date : 2002
✏Pages : 420
✏ISBN : 1852334401
✏Available Language : English, Spanish, And French

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✏NETLAB Book Summary : Getting the most out of neural networks and related data modelling techniques is the purpose of this book. The text, with the accompanying Netlab toolbox, provides all the necessary tools and knowledge. Throughout, the emphasis is on methods that are relevant to the practical application of neural networks to pattern analysis problems. All parts of the toolbox interact in a coherent way, and implementations and descriptions of standard statistical techniques are provided so that they can be used as benchmarks against which more sophisticated algorithms can be evaluated. Plenty of examples and demonstration programs illustrate the theory and help the reader understand the algorithms and how to apply them.

✏Book Title : Introduction to Pattern Recognition
✏Author : Menahem Friedman
✏Publisher : World Scientific
✏Release Date : 1999
✏Pages : 329
✏ISBN : 9810233124
✏Available Language : English, Spanish, And French

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✏Introduction to Pattern Recognition Book Summary : 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.

✏Book Title : Pattern Recognition and Artificial Intelligence
✏Author : Yue Lu
✏Publisher : Springer Nature
✏Release Date :
✏Pages :
✏ISBN : 9783030598303
✏Available Language : English, Spanish, And French

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✏Pattern Recognition and Artificial Intelligence Book Summary :

✏Book Title : Optical Pattern Recognition
✏Author : Francis T. S. Yu
✏Publisher : Cambridge University Press
✏Release Date : 1998-06-28
✏Pages : 440
✏ISBN : 0521465176
✏Available Language : English, Spanish, And French

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✏Optical Pattern Recognition Book Summary : A comprehensive review of optical pattern recognition techniques and implementations, for graduate students and researchers.

✏Book Title : Pattern Recognition
✏Author : Jürgen Beyerer
✏Publisher : Walter de Gruyter GmbH & Co KG
✏Release Date : 2017-12-04
✏Pages : 311
✏ISBN : 9783110537963
✏Available Language : English, Spanish, And French

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✏Pattern Recognition Book Summary : The book offers a thorough introduction to Pattern Recognition aimed at master and advanced bachelor students of engineering and the natural sciences. Besides classification - the heart of Pattern Recognition - special emphasis is put on features, their typology, their properties and their systematic construction. Additionally, general principles that govern Pattern Recognition are illustrated and explained in a comprehensible way. Rather than presenting a complete overview over the rapidly evolving field, the book is to clarifies the concepts so that the reader can easily understand the underlying ideas and the rationale behind the methods. For this purpose, the mathematical treatment of Pattern Recognition is pushed so far that the mechanisms of action become clear and visible, but not farther. Therefore, not all derivations are driven into the last mathematical detail, as a mathematician would expect it. Ideas of proofs are presented instead of complete proofs. From the authors’ point of view, this concept allows to teach the essential ideas of Pattern Recognition with sufficient depth within a relatively lean book. Mathematical methods explained thoroughly Extremely practical approach with many examples Based on over ten years lecture at Karlsruhe Institute of Technology For students but also for practitioners

✏Book Title : Pattern Recognition and Neural Networks
✏Author : Ludmila Kuncheva
✏Publisher : Lulu.com
✏Release Date :
✏Pages :
✏ISBN : 9780244232528
✏Available Language : English, Spanish, And French

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✏Pattern Recognition and Neural Networks Book Summary :

✏Book Title : Handbook of Pattern Recognition and Computer Vision
✏Author : C. H. Chen
✏Publisher : World Scientific
✏Release Date : 1993-08
✏Pages : 996
✏ISBN : 9810222769
✏Available Language : English, Spanish, And French

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✏Handbook of Pattern Recognition and Computer Vision Book Summary : "The book provides an up-to-date and authoritative treatment of pattern recognition and computer vision, with chapters written by leaders in the field. On the basic methods in pattern recognition and computer vision, topics range from statistical pattern recognition to array grammars to projective geometry to skeletonization, and shape and texture measures."--BOOK JACKET.

✏Book Title : Pattern Recognition
✏Author : Wladyslaw Homenda
✏Publisher : John Wiley & Sons
✏Release Date : 2018-03-07
✏Pages : 352
✏ISBN : 9781119302827
✏Available Language : English, Spanish, And French

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✏Pattern Recognition Book Summary : A new approach to the issue of data quality in pattern recognition Detailing foundational concepts before introducing more complex methodologies and algorithms, this book is a self-contained manual for advanced data analysis and data mining. Top-down organization presents detailed applications only after methodological issues have been mastered, and step-by-step instructions help ensure successful implementation of new processes. By positioning data quality as a factor to be dealt with rather than overcome, the framework provided serves as a valuable, versatile tool in the analysis arsenal. For decades, practical need has inspired intense theoretical and applied research into pattern recognition for numerous and diverse applications. Throughout, the limiting factor and perpetual problem has been data—its sheer diversity, abundance, and variable quality presents the central challenge to pattern recognition innovation. Pattern Recognition: A Quality of Data Perspective repositions that challenge from a hurdle to a given, and presents a new framework for comprehensive data analysis that is designed specifically to accommodate problem data. Designed as both a practical manual and a discussion about the most useful elements of pattern recognition innovation, this book: Details fundamental pattern recognition concepts, including feature space construction, classifiers, rejection, and evaluation Provides a systematic examination of the concepts, design methodology, and algorithms involved in pattern recognition Includes numerous experiments, detailed schemes, and more advanced problems that reinforce complex concepts Acts as a self-contained primer toward advanced solutions, with detailed background and step-by-step processes Introduces the concept of granules and provides a framework for granular computing Pattern recognition plays a pivotal role in data analysis and data mining, fields which are themselves being applied in an expanding sphere of utility. By facing the data quality issue head-on, this book provides students, practitioners, and researchers with a clear way forward amidst the ever-expanding data supply.

✏Book Title : Image Processing and Pattern Recognition
✏Author : Cornelius T. Leondes
✏Publisher : Elsevier
✏Release Date : 1998-02-09
✏Pages : 386
✏ISBN : 0080551440
✏Available Language : English, Spanish, And French

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✏Image Processing and Pattern Recognition Book Summary : 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.

✏Book Title : Pattern Recognition and Classification
✏Author : Geoff Dougherty
✏Publisher : Springer Science & Business Media
✏Release Date : 2012-10-28
✏Pages : 196
✏ISBN : 9781461453239
✏Available Language : English, Spanish, And French

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✏Pattern Recognition and Classification Book Summary : 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.

✏Book Title : Neural Networks for Pattern Recognition
✏Author : Christopher M. Bishop
✏Publisher : Oxford University Press
✏Release Date : 1995-11-23
✏Pages : 482
✏ISBN : 9780198538646
✏Available Language : English, Spanish, And French

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✏Neural Networks for Pattern Recognition Book Summary : `Readers will emerge with a rigorous statistical grounding in the theory of how to construct and train neural networks in pattern recognition' New Scientist

✏Book Title : Applications of Pattern Recognition
✏Author : King-Sun Fu
✏Publisher : CRC Press
✏Release Date : 2019-07-22
✏Pages : 284
✏ISBN : 9781351086707
✏Available Language : English, Spanish, And French

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✏Applications of Pattern Recognition Book Summary : This monograph is intended to cover several major applications of pattern recognition. After a brief introduction to pattern recognition in Chapter 1, the two major approaches, statistical approach and syntactic approach, are reviewed in Chapter 2, and 3, respectively. Other topics include the application of pattern recognition to seismic wave interpretation, to system reliability problems, to medical data analysis, as well as character and speech recognition.

✏Book Title : Pattern Recognition and Machine Vision
✏Author : Patrick Shen-Pei Wang
✏Publisher : River Publishers
✏Release Date : 2010
✏Pages : 480
✏ISBN : 9788792329363
✏Available Language : English, Spanish, And French

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✏Pattern Recognition and Machine Vision Book Summary : In recent years, there has been a growing interest in the fields of pattern recognition and machine vision in academia and industries. New theories have been developed, with new design of technology and systems in both hardware and software. They are widely applied to our daily life to solve real problems in such diverse areas as science, engineering, agriculture, e-commerce, education, robotics, government, medicine, games and animation, medical imaging analysis and diagnosis, military, and national security. The foundation of all this field can be traced back to the late Professor King-Sun Fu, one of the founding fathers of pattern recognition, who, with visionary insight founded the probably true to say that most people are affected by, or use applications of pattern recognition in daily life. Today, on the eve of 25th anniversary of the unfortunate and untimely passing of Professor Fu, we are proud to produce this volume of collected works from world renowned professionals and experts in pattern recognition and machine vision, in honor and memory of the late Professor King-Sun Fu. We hope this book will help promote further the course, not only of fundamental principles, systems and technologies, but also its vast range of applications to help in solving problems in daily life.

✏Book Title : Pattern Recognition and Data Mining
✏Author : Sameer Singh
✏Publisher : Springer Science & Business Media
✏Release Date : 2005-08-18
✏Pages : 694
✏ISBN : 3540287574
✏Available Language : English, Spanish, And French

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✏Pattern Recognition and Data Mining Book Summary : 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.