Frontiers Of Pattern Recognition

Author : Blom Marleah,Nobile Nicola,Suen Ching Yee
Publisher : World Scientific
Page : 300 pages
File Size : 49,9 Mb
Release : 2019-06-17
Category : Computers
ISBN : 9789811203534

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Frontiersinpatternrecognitionandartificialintelligence by Blom Marleah,Nobile Nicola,Suen Ching Yee Pdf

The fifth volume in this book series consists of a collection of new papers written by a diverse group of international scholars. Papers and presentations were carefully selected from 160 papers submitted to the International Conference on Pattern Recognition and Artificial Intelligence held in Montreal, Quebec (May 2018) and an associated free public lecture entitled 'Artificial Intelligence and Pattern Recognition: Trendy Technologies in Our Modern Digital World'. Chapters address topics such as the evolution of AI, natural language processing, off and on-line handwriting analysis, tracking and detection systems, neural networks, rating video games, computer-aided diagnosis, and digital learning.Within an increasingly digital world, 'artificial intelligence' is becoming a household term and a topic of great interest to many people worldwide. Pattern recognition, in using key features to classify data, has a strong relationship with artificial intelligence. This book not only complements other monographs in the series, it also provides the latest information. It is geared to promote interest and understanding about pattern recognition and artificial intelligence to the general public. It may also be of interest to graduate students and researchers in the field. Rather than focusing on one specific area, the book introduces readers to various basic concepts and to various potential areas where pattern recognition and artificial intelligence can be applied to make valuable contributions to other fields such as medicine, teaching and learning, forensic science, surveillance, online reviews, computer vision and object tracking.

Author : Satosi Watanabe
Publisher : Academic Press
Page : 614 pages
File Size : 43,6 Mb
Release : 2014-05-10
Category : Reference
ISBN : 9781483268941

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Frontiers of Pattern Recognition by Satosi Watanabe Pdf

Frontiers of Pattern Recognition contains the proceedings of the International Conference on Frontiers of Pattern Recognition which took place on January 18-20, 1971, at the University of Hawaii, Honolulu. The compendium consists of 30 papers from authorities from eleven different countries, which describe the frontiers of pattern recognition as viewed from diverse viewpoints. Topics discussed include some techniques for recognizing structures in pictures, grammatical inference, syntactic pattern recognition and stochastic languages, and pattern cognition and the organization of information. Also covered are subjects on human face recognition, cluster analysis, and learning algorithms of pattern recognition in non-stationary conditions. Computer scientists, mathematicians, statisticians, linguists, and psychologists will find the book informative.

Author : Satosi Watanabe
Publisher : Unknown
Page : 602 pages
File Size : 45,9 Mb
Release : 1972
Category : Electronic
ISBN : 0127371400

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Frontiers of Pattern Recognition by Satosi Watanabe Pdf

Author : Ieee Computer Society.Pattern Recognition Committee
Publisher : Unknown
Page : 602 pages
File Size : 41,6 Mb
Release : 1972
Category : Electronic
ISBN : LCCN:77159610

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Frontiers of Pattern Recognition by Ieee Computer Society.Pattern Recognition Committee Pdf

Author : Satosi Watanabe
Publisher : Unknown
Page : 602 pages
File Size : 53,6 Mb
Release : 1972
Category : Electronic
ISBN : OCLC:174512881

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Frontiers of Pattern Recognition by Satosi Watanabe Pdf

Author : María Inés Torres,Alberto Sanfeliu
Publisher : Unknown
Page : 316 pages
File Size : 54,5 Mb
Release : 2000
Category : Artificial intelligence
ISBN : 4274903621

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Pattern Recognition and Applications by María Inés Torres,Alberto Sanfeliu Pdf

Author : K. S. Fu
Publisher : Springer Science & Business Media
Page : 248 pages
File Size : 45,7 Mb
Release : 2013-03-07
Category : Computers
ISBN : 9783642677403

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Digital Pattern Recognition by K. S. Fu Pdf

Since its publication in 1976, the original volume has been warmly received. We have decided to put out this updated paperback edition so that the book can be more accessible to students. This paperback edition is essentially the same as the original hardcover volume except for the addition of a new chapter (Chapter 7) which reviews the recent advances in pattern recognition and image processing. Because of the limitations of length, we can only report the highlights and point the readers to the literature. A few typographical errors in the original edition were corrected. We are grateful to the National Science Foundation and the Office of Naval Research for supporting the editing of this book as well as the work described in Chapter 4 and a part of Chapter 7. West Lafayette, Indiana March 1980 K. S. Fu Preface to the First Edition 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) is still far from its maturity, many approach.

Author : Jianxin Wu
Publisher : Cambridge University Press
Page : 401 pages
File Size : 50,9 Mb
Release : 2020-11-19
Category : Computers
ISBN : 9781108483469

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Essentials of Pattern Recognition by Jianxin Wu Pdf

An accessible undergraduate introduction to the concepts and methods in pattern recognition, machine learning and deep learning.

Author : Y. Anzai
Publisher : Elsevier
Page : 424 pages
File Size : 42,9 Mb
Release : 2012-12-02
Category : Computers
ISBN : 9780080513638

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Pattern Recognition and Machine Learning by Y. Anzai Pdf

This is the first text to provide a unified and self-contained introduction to visual pattern recognition and machine learning. It is useful as a general introduction to artifical intelligence and knowledge engineering, and no previous knowledge of pattern recognition or machine learning is necessary. Basic for various pattern recognition and machine learning methods. Translated from Japanese, the book also features chapter exercises, keywords, and summaries.

Author : Pierre A. Devijver,Josef Kittler
Publisher : Springer Science & Business Media
Page : 531 pages
File Size : 44,9 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9783642830693

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Pattern Recognition Theory and Applications by Pierre A. Devijver,Josef Kittler Pdf

This book is the outcome of a NATO Advanced Study Institute on Pattern Recog nition Theory and Applications held in Spa-Balmoral, Belgium, in June 1986. This Institute was the third of a series which started in 1975 in Bandol, France, at the initia tive of Professors K. S. Fu and A. Whinston, and continued in 1981 in Oxford, UK, with Professors K. S. Fu, J. Kittler and L. -F. Pau as directors. As early as in 1981, plans were made to pursue the series in about 1986 and possibly in Belgium, with Professor K. S. Fu and the present editors as directors. Unfortunately, Ie sort en decida autrement: Professor Fu passed away in the spring of 1985. His sudden death was an irreparable loss to the scientific community and to all those who knew him as an inspiring colleague, a teacher or a dear friend. Soon after, Josef Kittler and I decided to pay a small tribute to his memory by helping some of his plans to materialize. With the support of the NATO Scientific Affairs Division, the Institute became a reality. It was therefore but natural that the proceedings of the Institute be dedicated to him. The book contains most of the papers that were presented at the Institute. Papers are grouped along major themes which hopefully represent the major areas of contem porary research. These are: 1. Statistical methods and clustering techniques 2. Probabilistic relaxation techniques 3. From Markovian to connectionist models 4.

Author : Marleah Blom,Nicola Nobile,Ching Yee Suen
Publisher : World Scientific
Page : 277 pages
File Size : 48,6 Mb
Release : 2021-11-16
Category : Computers
ISBN : 9789811239021

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Advances In Pattern Recognition And Artificial Intelligence by Marleah Blom,Nicola Nobile,Ching Yee Suen Pdf

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.

Author : Ching Y. Suen,Patrick Shen-pei Wang
Publisher : World Scientific
Page : 354 pages
File Size : 52,8 Mb
Release : 1994
Category : Science
ISBN : 9810214820

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Thinning Methodologies for Pattern Recognition by Ching Y. Suen,Patrick Shen-pei Wang Pdf

Thinning is a technique widely used in the pre-processing stage of a pattern recognition system to compress data and to enhance feature extraction in the subsequent stage. It reduces a digitized pattern to a skeleton so that all resulting branches are 1 pixel thick. The method seems easy at first and has many advantages, however after two decades of intensive research, it has been found to be very challenging due to the difficulties in programming computers to do it.This collection of 15 papers by leading scientists working in the area examines the theoretical and experimental aspects of thinning methodologies. The authors have addressed the problems faced, compared their performance results with others, and assessed the challenges ahead. Researchers will find the volume helpful in shedding light on difficult issues and stimulating further research in the area.

Author : Chi-hau Chen
Publisher : World Scientific
Page : 176 pages
File Size : 40,6 Mb
Release : 1991
Category : Computers
ISBN : 9810207662

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Neural Networks in Pattern Recognition and Their Applications by Chi-hau Chen Pdf

The revitalization of neural network research in the past few years has already had a great impact on research and development in pattern recognition and artificial intelligence. Although neural network functions are not limited to pattern recognition, there is no doubt that a renewed progress in pattern recognition and its applications now critically depends on neural networks. This volume specially brings together outstanding original research papers in the area and aims to help the continued progress in pattern recognition and its applications.

Author : Thomas Lu,Tien-Hsin Chao
Publisher : Unknown
Page : 205 pages
File Size : 45,6 Mb
Release : 2018-11-16
Category : Machine learning
ISBN : 1536144290

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Advances in Pattern Recognition Research by Thomas Lu,Tien-Hsin Chao Pdf

Artificial Intelligence (AI) has become a popular research topic recently. Pattern recognition (PR) is an important part of an AI system. If the AI is considered as the digital brain, then the PR is the visual and auditory cortex that converts the optical signals from the eyes and the acoustic signals from the ears to meaningful symbolic texts that the brain can digest. Over the past 40+ years, the processing speed of a digital computer has increased from kbits/s to tera floating point operations per second (TFLOPS), a 109 times acceleration. PR research has made significant advancements along the advancement of digital hardware, especially the graphical processing unit (GPU) technology that helps the rapid processing of complex images. In this book, the authors have collected the latest work from leading researchers in the PR fields. The topics are broad, which include optical implementation of various filters, digital implementation of state-of-the-art neural network (NN) training methods, and the latest deep leaning (DL) models. We also included applications of PR in various fields.

Author : Sergios Theodoridis,Konstantinos Koutroumbas
Publisher : Elsevier
Page : 856 pages
File Size : 52,9 Mb
Release : 2006-04-07
Category : Computers
ISBN : 0080513611

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Pattern Recognition by Sergios Theodoridis,Konstantinos Koutroumbas Pdf

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