Pattern Recognition

Pattern Recognition
Author: William Gibson
Publsiher: Penguin UK
Total Pages: 368
Release: 2004-06-24
ISBN 10: 0141904461
ISBN 13: 9780141904467
Language: EN, FR, DE, ES & NL

Pattern Recognition Book Review:

Pattern Recognition - a pulsating techno-thriller by William Gibson, bestselling author of Neuromancer Cayce Pollard has been flown to London. She's a 'coolhunter' - her services for hire to global corporations desperate for certainty in a capricious and uncertain world. Now she's been offered a special project: track down the makers of the addictive online film that's lighting up the 'net. Hunting the source will take her to Tokyo and Moscow and put her in the sights of Japanese computer crazies and Russian Mafia men. She's up against those who want to control the film, to own it - who figure breaking the law is just another business strategy. The kind of people who relish turning the hunter into the hunted . . . William Gibson is a prophet and a satirist, a black comedian and an outstanding architect of cool. Readers of Neal Stephenson, Ray Bradbury and Iain M. Banks will love this book. Pattern Recognition is the first novel in the Blue Ant trilogy - read Spook Country and Zero History for more. 'A big novel, full of bold ideas . . . races along like an expert thriller' GQ 'Dangerously hip. Its dialogue and characterization will amaze you. A wonderfully detailed, reckless journey of espionage and lies' USA Today 'A compelling, humane story with a sympathetic heroine searching for meaning and consolation in a post-everything world' Daily Telegraph Idoru is a gripping techno-thriller by William Gibson, bestselling author of Neuromancer 'Fast, witty and cleverly politicized' Guardian

Pattern Recognition

Pattern Recognition
Author: William Gibson
Publsiher: Penguin
Total Pages: 384
Release: 2003-02-03
ISBN 10: 1101146419
ISBN 13: 9781101146415
Language: EN, FR, DE, ES & NL

Pattern Recognition Book Review:

“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

Pattern Recognition
Author: William Gibson
Publsiher: Penguin UK
Total Pages: 368
Release: 2004-06-24
ISBN 10: 0140266143
ISBN 13: 9780140266146
Language: EN, FR, DE, ES & NL

Pattern Recognition Book Review:

It's only called paranoia if you can't prove it. Cayce is in London to work. Her pathological sensitivity to brands makes her the perfect divining rod for an ad agency that wants to east a new logo. But when she is co-opted into the search for the creator of a strangely addictive on-line film, Cayce wonders if she has done the right - or indeed, safe - thing. And that's before violence, Japanese computer crazies and Russian Mafia men are in the mix. But she wants to discover the source of the film too, and the truth of her father's disappearance in New York, two years ago. And from the way people are trying to stop her, it looks like she's getting close . . .

Pattern Recognition

Pattern Recognition
Author: Sergios Theodoridis,Konstantinos Koutroumbas
Publsiher: Elsevier
Total Pages: 689
Release: 2003-05-15
ISBN 10: 9780080513621
ISBN 13: 008051362X
Language: EN, FR, DE, ES & NL

Pattern Recognition Book Review:

Pattern recognition is a scientific discipline that is becoming increasingly important in the age of automation and information handling and retrieval. Patter Recognition, 2e covers the entire spectrum of pattern recognition applications, from image analysis to speech recognition and communications. This book presents cutting-edge material on neural networks, - a set of linked microprocessors that can form associations and uses pattern recognition to "learn" -and enhances student motivation by approaching pattern recognition from the designer's point of view. A direct result of more than 10 years of teaching experience, the text was developed by the authors through use in their own classrooms. *Approaches pattern recognition from the designer's point of view *New edition highlights latest developments in this growing field, including independent components and support vector machines, not available elsewhere *Supplemented by computer examples selected from applications of interest

Neural Networks for Pattern Recognition

Neural Networks for Pattern Recognition
Author: Christopher M. Bishop
Publsiher: Oxford University Press
Total Pages: 482
Release: 1995-11-23
ISBN 10: 0198538642
ISBN 13: 9780198538646
Language: EN, FR, DE, ES & NL

Neural Networks for Pattern Recognition Book Review:

`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 and Artificial Intelligence

Pattern Recognition and Artificial Intelligence
Author: C.H. Chen
Publsiher: Elsevier
Total Pages: 632
Release: 2013-12-11
ISBN 10: 0323144209
ISBN 13: 9780323144209
Language: EN, FR, DE, ES & NL

Pattern Recognition and Artificial Intelligence Book Review:

Pattern Recognition and Artificial Intelligence contains the proceedings of the Joint Workshop on Pattern Recognition and Artificial Intelligence held in Hyannis, Massachusetts, on June 1-3, 1976. The papers explore developments in pattern recognition and artificial intelligence and cover topics ranging from scene analysis and data structure to syntactic methods, biomedicine, speech recognition, game-playing programs, and computer graphics. Grammar inference methods, image segmentation and interpretation, and relational databases are also discussed. This book is comprised of 29 chapters and begins with a description of a data structure that can learn simple programs from training samples. The reader is then introduced to the syntactic parts of pattern recognition systems; methods for multidimensional grammatical inference; a scene analysis system capable of finding structure in outdoor scenes; and a language called DEDUCE for relational databases. A sculptor's studio-like environment, in which the ""sculptor"" can create complex three-dimensional objects in the computer similar to molding a piece of clay in the machine, is also described. The remaining chapters focus on statistical and structural feature extraction; use of maximum likelihood functions for recognition of highly variable line drawings; region extraction using boundary following; and interactive screening of reconnaissance imagery. This monograph will be of interest to engineers, graduate students, and researchers in the fields of pattern recognition and artificial intelligence.

Pattern Recognition and Machine Learning

Pattern Recognition and Machine Learning
Author: Christopher M. Bishop
Publsiher: Springer
Total Pages: 738
Release: 2016-08-23
ISBN 10: 9781493938438
ISBN 13: 1493938436
Language: EN, FR, DE, ES & NL

Pattern Recognition and Machine Learning Book Review:

This is the first textbook on pattern recognition to present the Bayesian viewpoint. The book presents approximate inference algorithms that permit fast approximate answers in situations where exact answers are not feasible. It uses graphical models to describe probability distributions when no other books apply graphical models to machine learning. No previous knowledge of pattern recognition or machine learning concepts is assumed. Familiarity with multivariate calculus and basic linear algebra is required, and some experience in the use of probabilities would be helpful though not essential as the book includes a self-contained introduction to basic probability theory.

Introduction to Pattern Recognition

Introduction to Pattern Recognition
Author: Sergios Theodoridis,Aggelos Pikrakis,Konstantinos Koutroumbas,Dionisis Cavouras
Publsiher: Academic Press
Total Pages: 231
Release: 2010-03-03
ISBN 10: 9780080922751
ISBN 13: 0080922759
Language: EN, FR, DE, ES & NL

Introduction to Pattern Recognition Book Review:

Introduction to Pattern Recognition: A Matlab Approach is an accompanying manual to Theodoridis/Koutroumbas' Pattern Recognition. It includes 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. This text is designed for electronic engineering, computer science, computer engineering, biomedical engineering and applied mathematics students taking graduate courses on pattern recognition and machine learning as well as R&D engineers and university researchers in image and signal processing/analyisis, and computer vision. Matlab code and descriptive summary of the most common methods and algorithms in Theodoridis/Koutroumbas, Pattern Recognition, Fourth Edition Solved examples in Matlab, including real-life data sets in imaging and audio recognition Available separately or at a special package price with the main text (ISBN for package: 978-0-12-374491-3)

Image Processing and Pattern Recognition

Image Processing and Pattern Recognition
Author: Cornelius T. Leondes
Publsiher: Elsevier
Total Pages: 386
Release: 1998-02-09
ISBN 10: 9780080551449
ISBN 13: 0080551440
Language: EN, FR, DE, ES & NL

Image Processing and Pattern Recognition Book Review:

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

Pattern Recognition
Author: M. Narasimha Murty,V. Susheela Devi
Publsiher: Springer Science & Business Media
Total Pages: 263
Release: 2011-05-25
ISBN 10: 0857294954
ISBN 13: 9780857294951
Language: EN, FR, DE, ES & NL

Pattern Recognition Book Review:

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.

Neural Networks for Pattern Recognition

Neural Networks for Pattern Recognition
Author: Albert Nigrin
Publsiher: MIT Press
Total Pages: 413
Release: 1993
ISBN 10: 9780262140546
ISBN 13: 0262140543
Language: EN, FR, DE, ES & NL

Neural Networks for Pattern Recognition Book Review:

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.

Digital Pattern Recognition

Digital Pattern Recognition
Author: K. S. Fu
Publsiher: Springer Science & Business Media
Total Pages: 206
Release: 2013-03-08
ISBN 10: 364296303X
ISBN 13: 9783642963032
Language: EN, FR, DE, ES & NL

Digital Pattern Recognition Book Review:

During the past fifteen years there has been a considerable growth of interest in problems of pattern recognition. Contributions to the blossom of this area have come from many disciplines, including statistics, psychology, linguistics, computer science, biology, taxonomy, switching theory, communication theory, control theory, and operations research. Many different approaches have been proposed and a number of books have been published. Most books published so far deal with the decision-theoretic (or statistical) approach or the syntactic (or linguistic) approach. Since the area of pattern recognition is still far from its maturity, many new research results, both in theory and in applications, are continuously produced. The purpose of this monograph is to provide a concise summary of the major recent developments in pattern recognition. The five main chapters (Chapter 2-6) in this book can be divided into two parts. The first three chapters concern primarily with basic techniques in pattern recognition. They include statistical techniques, clustering analysis and syntactic techniques. The last two chapters deal with applications; namely, picture recognition, and speech recognition and understanding. Each chapter is written by one or two distinguished experts on that subject. The editor has not attempted to impose upon the contributors to this volume a uniform notation and terminol ogy, since such notation and terminology does not as yet exist in pattern recognition.

Syntactic Pattern Recognition Applications

Syntactic Pattern Recognition  Applications
Author: K.S. Fu
Publsiher: Springer Science & Business Media
Total Pages: 272
Release: 2012-12-06
ISBN 10: 3642664385
ISBN 13: 9783642664380
Language: EN, FR, DE, ES & NL

Syntactic Pattern Recognition Applications Book Review:

The many different mathematical techniques used to solve pattem recognition problems may be grouped into two general approaches: the decision-theoretic (or discriminant) approach and the syntactic (or structural) approach. In the decision-theoretic approach, aset of characteristic measurements, called features, are extracted from the pattems. Each pattem is represented by a feature vector, and the recognition of each pattem is usually made by partitioning the feature space. Applications of decision-theoretic approach indude character recognition, medical diagnosis, remote sensing, reliability and socio-economics. A relatively new approach is the syntactic approach. In the syntactic approach, ea ch pattem is expressed in terms of a composition of its components. The recognition of a pattem is usually made by analyzing the pattem structure according to a given set of rules. Earlier applications of the syntactic approach indude chromosome dassification, English character recognition and identification of bubble and spark chamber events. The purpose of this monograph is to provide a summary of the major reeent applications of syntactic pattem recognition. After a brief introduction of syntactic pattem recognition in Chapter 1, the nin e mai n chapters (Chapters 2-10) can be divided into three parts. The first three chapters concem with the analysis of waveforms using syntactic methods. Specific application examples indude peak detection and interpretation of electro cardiograms and the recognition of speech pattems. The next five chapters deal with the syntactic recognition of two-dimensional pictorial pattems.

Pattern Recognition

Pattern Recognition
Author: Jürgen Beyerer,Matthias Richter,Matthias Nagel
Publsiher: Walter de Gruyter GmbH & Co KG
Total Pages: 311
Release: 2017-12-04
ISBN 10: 3110537966
ISBN 13: 9783110537963
Language: EN, FR, DE, ES & NL

Pattern Recognition Book Review:

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

Pattern Recognition

Pattern Recognition
Author: José Francisco Martínez-Trinidad,Jesús Ariel Carrasco-Ochoa,José Arturo Olvera-López,Sudeep Sarkar
Publsiher: Springer
Total Pages: 288
Release: 2018-06-20
ISBN 10: 3319921983
ISBN 13: 9783319921983
Language: EN, FR, DE, ES & NL

Pattern Recognition Book Review:

This book constitutes the proceedings of the 10th Mexican Conference on Pattern Recognition, MCPR 2018, held in Puebla, Mexico, in June 2018. The 28 papers presented in this volume were carefully reviewed and selected from 44 submissions. They were organized in topical sections named: pattern recognition principles; deep learning, neural networks and associative memories; data mining; and computer vision.

Pattern Recognition

Pattern Recognition
Author: Jesús Ariel Carrasco-Ochoa,José Francisco Martínez-Trinidad,José Arturo Olvera-López
Publsiher: Springer
Total Pages: 310
Release: 2017-05-31
ISBN 10: 3319592262
ISBN 13: 9783319592268
Language: EN, FR, DE, ES & NL

Pattern Recognition Book Review:

This book constitutes the refereed proceedings of the 9th Mexican Conference on Pattern Recognition, MCPR 2017, held in Huatulco, Mexico, in June 2017. The 29 revised full papers presented were carefully reviewed and selected from 55 submissions. The papers are organized in topical sections on pattern recognition and artificial intelligence techniques, image processing and analysis, robotics and remote sensing, natural language processing and recognition, applications of pattern recognition.

Attention and Pattern Recognition

Attention and Pattern Recognition
Author: Nick Lund
Publsiher: Routledge
Total Pages: 144
Release: 2020-07-24
ISBN 10: 1000143023
ISBN 13: 9781000143027
Language: EN, FR, DE, ES & NL

Attention and Pattern Recognition Book Review:

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.

Pattern Recognition

Pattern Recognition
Author: Joachim Denzler,Gunther Notni,Herbert Süße
Publsiher: Springer Science & Business Media
Total Pages: 564
Release: 2009-09-03
ISBN 10: 3642037976
ISBN 13: 9783642037979
Language: EN, FR, DE, ES & NL

Pattern Recognition Book Review:

In 2009, for the second time in a row, Jena hosted an extraordinary event. In th 2008, Jena celebrated the 450 birthday of the Friedrich Schiller University of Jena with the motto “Lichtgedanken” – “?ashes of brilliance. ” This year, for almost one week, Jena became the center for the pattern recognition research st community of the German-speaking countries in Europe by hosting the 31 Annual Symposium of the Deutsche Arbeitsgemeinschaft fur ¨ Mustererkennung (DAGM). Jena is a special place for this event for several reasons. Firstly, it is the ?rst time that the university of Jena has been selected to host this conference, and it isanopportunitytopresentthecityofJenaaso?eringafascinatingcombination of historic sites, an intellectual past, a delightful countryside,and innovative, - ternationalresearchandindustrywithinThuringia. Second,the conferencetakes place in an environment that has been heavily in?uenced by optics research and industry for more than 150 years. Third, in several schools and departments at the University of Jena, research institutions and companies in the ?elds of p- tern recognition, 3D computer vision, and machine learning play an important role. The university's involvement includes such diverse activities as industrial inspection, medical image processing and analysis, remote sensing, biomedical analysis, and cutting-edge developments in the ?eld of physics, such as the - cent development of the new terahertz imaging technique. Thus, DAGM 2009 was an important event to transfer basic research results to di?erent appli- tions in such areas.

Syntactic and Structural Pattern Recognition Theory and Applications

Syntactic and Structural Pattern Recognition     Theory and Applications
Author: H Bunke,A Sanfeliu
Publsiher: World Scientific
Total Pages: 564
Release: 1990-01-01
ISBN 10: 9814507636
ISBN 13: 9789814507639
Language: EN, FR, DE, ES & NL

Syntactic and Structural Pattern Recognition Theory and Applications Book Review:

This book is currently the only one on this subject containing both introductory material and advanced recent research results. It presents, at one end, fundamental concepts and notations developed in syntactic and structural pattern recognition and at the other, reports on the current state of the art with respect to both methodology and applications. In particular, it includes artificial intelligence related techniques, which are likely to become very important in future pattern recognition. The book consists of individual chapters written by different authors. The chapters are grouped into broader subject areas like “Syntactic Representation and Parsing”, “Structural Representation and Matching”, “Learning”, etc. Each chapter is a self-contained presentation of one particular topic. In order to keep the original flavor of each contribution, no efforts were undertaken to unify the different chapters with respect to notation. Naturally, the self-containedness of the individual chapters results in some redundancy. However, we believe that this handicap is compensated by the fact that each contribution can be read individually without prior study of the preceding chapters. A unification of the spectrum of material covered by the individual chapters is provided by the subject and author index included at the end of the book. Contents:Introduction and Overview (M G Thomason)String Grammars for Syntactic Pattern Recognition (H Bunke)Parsing and Error-Correcting Parsing for String Grammars (E Tanaka)Array, Tree, and Graph Grammars (A Rosenfeld)String Matching for Structural Pattern Recognition (H Bunke)Matching Tree Structures (A Sanfeliu)Matching Relational Structures Using Discrete Relaxation (L G Shapiro & R M Haralick)Random Graphs (A K C Wong et al.)Grammatical Inference (L Miclet)An Algorithm for Inferring Context-Free Array Grammars (P S P Wang & X W Dai)Hybrid Pattern Recognition Methods (H Bunke)Combining Statistical and Structural Methods (W H Tsai)Industrial Applications (H S Baird)Three-Dimensional Object Recognition by Attributed Graphs (E K Wong)Chinese Character Recognition (J W Tai & Y J Liu)Table Driven Parsing for Shape Analysis (T C Henderson & A Samal)A General Purpose Line Drawing Analysis System (R Mohr)ECG Analysis (E Skordalakis) Readership: Graduates, undergraduates, researchers and practising professionals in pattern recognition.

Hybrid Methods in Pattern Recognition

Hybrid Methods in Pattern Recognition
Author: Horst Bunke,Abraham Kandel
Publsiher: World Scientific
Total Pages: 324
Release: 2002
ISBN 10: 9810248326
ISBN 13: 9789810248321
Language: EN, FR, DE, ES & NL

Hybrid Methods in Pattern Recognition Book Review:

The field of pattern recognition has seen enormous progress since its beginnings almost 50 years ago. A large number of different approaches have been proposed. Hybrid methods aim at combining the advantages of different paradigms within a single system. Hybrid Methods in Pattern Recognition is a collection of articles describing recent progress in this emerging field. It covers topics such as the combination of neural nets with fuzzy systems or hidden Markov models, neural networks for the processing of symbolic data structures, hybrid methods in data mining, the combination of symbolic and subsymbolic learning, and so on. Also included is recent work on multiple classifier systems. Furthermore, the book deals with applications in on-line and off-line handwriting recognition, remotely sensed image interpretation, fingerprint identification, and automatic text categorization.