Pattern Recognition
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Author | : William Gibson |
Publisher | : Penguin UK |
Total Pages | : 419 |
Release | : 2004-06-24 |
Genre | : Fiction |
ISBN | : 0141904461 |
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'Part-detective story, part-cultural snapshot . . . all bound by Gibson's pin-sharp prose' Arena -------------- THE FIRST NOVEL IN THE BLUE ANT TRILIOGY - READ ZERO HISTORY AND SPOOK COUNTRY FOR MORE Cayce Pollard has a new job. She's been offered a special project: track down the makers of an addictive online film that's lighting up the internet. Hunting the source will take her to Tokyo and Moscow and put her in the sights of Japanese hackers and Russian Mafia. 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 . . . A gripping spy thriller by William Gibson, bestselling author of Neuromancer. Part prophesy, part satire, Pattern Recognition skewers the absurdity of modern life with the lightest and most engaging of touches. Readers of Neal Stephenson, Ray Bradbury and Iain M. Banks won't be able to put this book down. -------------- 'Fast, witty and cleverly politicized' Guardian '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 'Electric, profound. Gibson's descriptions of Tokyo, Russia and London are surreally spot-on' Financial Times
Author | : Christopher M. Bishop |
Publisher | : Springer |
Total Pages | : 0 |
Release | : 2016-08-23 |
Genre | : Computers |
ISBN | : 9781493938438 |
Download Pattern Recognition and Machine Learning Book in PDF, Epub and Kindle
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.
Author | : Sergios Theodoridis |
Publisher | : Elsevier |
Total Pages | : 705 |
Release | : 2003-05-15 |
Genre | : Technology & Engineering |
ISBN | : 008051362X |
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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
Author | : Luc Devroye |
Publisher | : Springer Science & Business Media |
Total Pages | : 631 |
Release | : 2013-11-27 |
Genre | : Mathematics |
ISBN | : 1461207118 |
Download A Probabilistic Theory of Pattern Recognition Book in PDF, Epub and Kindle
A self-contained and coherent account of probabilistic techniques, covering: distance measures, kernel rules, nearest neighbour rules, Vapnik-Chervonenkis theory, parametric classification, and feature extraction. Each chapter concludes with problems and exercises to further the readers understanding. Both research workers and graduate students will benefit from this wide-ranging and up-to-date account of a fast- moving field.
Author | : Rudolf Frühwirth |
Publisher | : Springer Nature |
Total Pages | : 208 |
Release | : 2021 |
Genre | : Electronic books |
ISBN | : 303065771X |
Download Pattern Recognition, Tracking and Vertex Reconstruction in Particle Detectors Book in PDF, Epub and Kindle
This open access book is a comprehensive review of the methods and algorithms that are used in the reconstruction of events recorded by past, running and planned experiments at particle accelerators such as the LHC, SuperKEKB and FAIR. The main topics are pattern recognition for track and vertex finding, solving the equations of motion by analytical or numerical methods, treatment of material effects such as multiple Coulomb scattering and energy loss, and the estimation of track and vertex parameters by statistical algorithms. The material covers both established methods and recent developments in these fields and illustrates them by outlining exemplary solutions developed by selected experiments. The clear presentation enables readers to easily implement the material in a high-level programming language. It also highlights software solutions that are in the public domain whenever possible. It is a valuable resource for PhD students and researchers working on online or offline reconstruction for their experiments.
Author | : Brian D. Ripley |
Publisher | : Cambridge University Press |
Total Pages | : 420 |
Release | : 2007 |
Genre | : Computers |
ISBN | : 9780521717700 |
Download Pattern Recognition and Neural Networks Book in PDF, Epub and Kindle
This 1996 book explains the statistical framework for pattern recognition and machine learning, now in paperback.
Author | : Geoff Dougherty |
Publisher | : Springer Science & Business Media |
Total Pages | : 203 |
Release | : 2012-10-28 |
Genre | : Computers |
ISBN | : 1461453232 |
Download Pattern Recognition and Classification Book in PDF, Epub and Kindle
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.
Author | : Francis T. S. Yu |
Publisher | : Cambridge University Press |
Total Pages | : 460 |
Release | : 1998-06-28 |
Genre | : Computers |
ISBN | : 9780521465175 |
Download Optical Pattern Recognition Book in PDF, Epub and Kindle
A comprehensive review of optical pattern recognition techniques and implementations, for graduate students and researchers.
Author | : Keinosuke Fukunaga |
Publisher | : Elsevier |
Total Pages | : 606 |
Release | : 2013-10-22 |
Genre | : Computers |
ISBN | : 0080478654 |
Download Introduction to Statistical Pattern Recognition Book in PDF, Epub and Kindle
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.
Author | : Mitra Basu |
Publisher | : Springer Science & Business Media |
Total Pages | : 309 |
Release | : 2006-12-22 |
Genre | : Computers |
ISBN | : 1846281725 |
Download Data Complexity in Pattern Recognition Book in PDF, Epub and Kindle
Automatic pattern recognition has uses in science and engineering, social sciences and finance. This book examines data complexity and its role in shaping theory and techniques across many disciplines, probing strengths and deficiencies of current classification techniques, and the algorithms that drive them. The book offers guidance on choosing pattern recognition classification techniques, and helps the reader set expectations for classification performance.