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Pattern Recognition and Machine Learning

Pattern Recognition and Machine Learning
Author: Christopher M. Bishop
Publisher: Springer
Total Pages: 0
Release: 2016-08-23
Genre: Computers
ISBN: 9781493938438

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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.


The Pattern Recognition Basis of Artificial Intelligence

The Pattern Recognition Basis of Artificial Intelligence
Author: Donald Tveter
Publisher: Wiley-IEEE Computer Society Press
Total Pages: 392
Release: 1998
Genre: Computers
ISBN:

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This book pays extra attention to the new ideas in AI: neural networking, case based reasoning, and memory based reasoning, while including the important aspects of traditional symbol processing AI. As much as possible, these methods are compared with each other so that the reader will see the advantages and disadvantages of each method. Second, the new and traditional methods are presented as different ways of doing pattern recognition, giving unity to the subject matter. Third, rather than treating AI as just a collection of advanced algorithms, it also looks at the problems involved in producing the kind of general purpose intelligence found in human beings who have to deal with the real world.


Advances In Pattern Recognition And Artificial Intelligence

Advances In Pattern Recognition And Artificial Intelligence
Author: Marleah Blom
Publisher: World Scientific
Total Pages: 277
Release: 2021-11-16
Genre: Computers
ISBN: 9811239029

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This book includes reviewed papers by international scholars from the 2020 International Conference on Pattern Recognition and Artificial Intelligence (held online). The papers have been expanded to provide more details specifically for the book. It is geared to promote ongoing interest and understanding about pattern recognition and artificial intelligence. Like the previous book in the series, this book covers a range of topics and illustrates potential areas where pattern recognition and artificial intelligence can be applied. It highlights, for example, how pattern recognition and artificial intelligence can be used to classify, predict, detect and help promote further discoveries related to credit scores, criminal news, national elections, license plates, gender, personality characteristics, health, and more.Chapters include works centred on medical and financial applications as well as topics related to handwriting analysis and text processing, internet security, image analysis, database creation, neural networks and deep learning. While the book is geared to promote interest from the general public, it may also be of interest to graduate students and researchers in the field.


Person Re-Identification

Person Re-Identification
Author: Shaogang Gong
Publisher: Springer Science & Business Media
Total Pages: 446
Release: 2014-01-03
Genre: Computers
ISBN: 144716296X

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The first book of its kind dedicated to the challenge of person re-identification, this text provides an in-depth, multidisciplinary discussion of recent developments and state-of-the-art methods. Features: introduces examples of robust feature representations, reviews salient feature weighting and selection mechanisms and examines the benefits of semantic attributes; describes how to segregate meaningful body parts from background clutter; examines the use of 3D depth images and contextual constraints derived from the visual appearance of a group; reviews approaches to feature transfer function and distance metric learning and discusses potential solutions to issues of data scalability and identity inference; investigates the limitations of existing benchmark datasets, presents strategies for camera topology inference and describes techniques for improving post-rank search efficiency; explores the design rationale and implementation considerations of building a practical re-identification system.


Pattern Recognition and Artificial Intelligence

Pattern Recognition and Artificial Intelligence
Author: Mass.) Joint Workshop on Pattern Recognition and Artificial Intelligence (1976 : Hyannis
Publisher:
Total Pages: 0
Release: 1976
Genre:
ISBN:

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Pattern Recognition and Machine Intelligence

Pattern Recognition and Machine Intelligence
Author: B. Uma Shankar
Publisher: Springer
Total Pages: 695
Release: 2017-11-22
Genre: Computers
ISBN: 3319699008

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This book constitutes the proceedings of the 7th International Conference on Pattern Recognition and Machine Intelligence, PReMI 2017,held in Kolkata, India, in December 2017. The total of 86 full papers presented in this volume were carefully reviewed and selected from 293 submissions. They were organized in topical sections named: pattern recognition and machine learning; signal and image processing; computer vision and video processing; soft and natural computing; speech and natural language processing; bioinformatics and computational biology; data mining and big data analytics; deep learning; spatial data science and engineering; and applications of pattern recognition and machine intelligence.


Pattern Recognition, Machine Intelligence and Biometrics

Pattern Recognition, Machine Intelligence and Biometrics
Author: Patrick S. P. Wang
Publisher: Springer Science & Business Media
Total Pages: 883
Release: 2012-02-13
Genre: Computers
ISBN: 3642224075

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"Pattern Recognition, Machine Intelligence and Biometrics" covers the most recent developments in Pattern Recognition and its applications, using artificial intelligence technologies within an increasingly critical field. It covers topics such as: image analysis and fingerprint recognition; facial expressions and emotions; handwriting and signatures; iris recognition; hand-palm gestures; and multimodal based research. The applications span many fields, from engineering, scientific studies and experiments, to biomedical and diagnostic applications, to personal identification and homeland security. In addition, computer modeling and simulations of human behaviors are addressed in this collection of 31 chapters by top-ranked professionals from all over the world in the field of PR/AI/Biometrics. The book is intended for researchers and graduate students in Computer and Information Science, and in Communication and Control Engineering. Dr. Patrick S. P. Wang is a Professor Emeritus at the College of Computer and Information Science, Northeastern University, USA, Zijiang Chair of ECNU, Shanghai, and NSC Visiting Chair Professor of NTUST, Taipei.


Machine Learning in Image Analysis and Pattern Recognition

Machine Learning in Image Analysis and Pattern Recognition
Author: Munish Kumar
Publisher: MDPI
Total Pages: 112
Release: 2021-09-08
Genre: Technology & Engineering
ISBN: 3036517146

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This book is to chart the progress in applying machine learning, including deep learning, to a broad range of image analysis and pattern recognition problems and applications. In this book, we have assembled original research articles making unique contributions to the theory, methodology and applications of machine learning in image analysis and pattern recognition.


Pattern Recognition and Neural Networks

Pattern Recognition and Neural Networks
Author: Brian D. Ripley
Publisher: Cambridge University Press
Total Pages: 420
Release: 2007
Genre: Computers
ISBN: 9780521717700

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


Progress in Artificial Intelligence and Pattern Recognition

Progress in Artificial Intelligence and Pattern Recognition
Author: Yanio Hernández Heredia
Publisher: Springer
Total Pages: 446
Release: 2021-11-04
Genre: Computers
ISBN: 9783030896904

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This book constitutes the refereed proceedings of the 7th International Workshop on Artificial Intelligence and Pattern Recognition, IWAIPR 2021, held in Havana, Cuba, in October 2021. The 42 full papers presented were carefully reviewed and selected from 73 submissions. The papers promote and disseminate ongoing research on mathematical methods and computing techniques for artificial intelligence and pattern recognition, in particular in bioinformatics, cognitive and humanoid vision, computer vision, image analysis and intelligent data analysis.