Artificial Neural Networks In Pattern Recognition


Artificial Neural Networks In Pattern Recognition
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Artificial Neural Networks In Pattern Recognition


Artificial Neural Networks In Pattern Recognition
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Author : Frank-Peter Schilling
language : en
Publisher: Springer Nature
Release Date : 2020-09-01

Artificial Neural Networks In Pattern Recognition written by Frank-Peter Schilling and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-09-01 with Computers categories.


This book constitutes the refereed proceedings of the 9th IAPR TC3 International Workshop on Artificial Neural Networks in Pattern Recognition, ANNPR 2020, held in Winterthur, Switzerland, in September 2020. The conference was held virtually due to the COVID-19 pandemic. The 22 revised full papers presented were carefully reviewed and selected from 34 submissions. The papers present and discuss the latest research in all areas of neural network-and machine learning-based pattern recognition. They are organized in two sections: learning algorithms and architectures, and applications.



Artificial Neural Networks In Pattern Recognition


Artificial Neural Networks In Pattern Recognition
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Author : Luca Pancioni
language : en
Publisher: Springer
Release Date : 2018-08-29

Artificial Neural Networks In Pattern Recognition written by Luca Pancioni and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-08-29 with Computers categories.


This book constitutes the refereed proceedings of the 8th IAPR TC3 International Workshop on Artificial Neural Networks in Pattern Recognition, ANNPR 2018, held in Siena, Italy, in September 2018. The 29 revised full papers presented together with 2 invited papers were carefully reviewed and selected from 35 submissions. The papers present and discuss the latest research in all areas of neural network- and machine learning-based pattern recognition. They are organized in two sections: learning algorithms and architectures, and applications. Chapter "Bounded Rational Decision-Making with Adaptive Neural Network Priors" is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.



Artificial Neural Networks In Pattern Recognition


Artificial Neural Networks In Pattern Recognition
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Author : Lionel Prevost
language : en
Publisher: Springer
Release Date : 2008-06-30

Artificial Neural Networks In Pattern Recognition written by Lionel Prevost and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-06-30 with Computers categories.


Annotation This book constitutes the refereed proceedings of the Third TC3 IAPR Workshop on Artificial Neural Networks in Pattern Recognition, ANNPR 2008, held in Paris, France, in July 2008. The 18 revised full papers and 11 revised poster papers presented were carefully reviewed and selected from 57 submissions. The papers combine many ideas from machine learning, advanced statistics, signal and image processing for solving complex real-world pattern recognition problems. The papers are organized in topical sections on unsupervised learning, supervised learning, multiple classifiers, applications, and feature selection.



Neural Networks In Pattern Recognition And Their Applications


Neural Networks In Pattern Recognition And Their Applications
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Author : Chi-hau Chen
language : en
Publisher: World Scientific
Release Date : 1991

Neural Networks In Pattern Recognition And Their Applications written by Chi-hau Chen and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 1991 with Computers categories.


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.



Artificial Neural Networks In Pattern Recognition


Artificial Neural Networks In Pattern Recognition
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Author : Neamat El Gayar
language : en
Publisher: Springer
Release Date : 2014-09-29

Artificial Neural Networks In Pattern Recognition written by Neamat El Gayar and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-09-29 with Computers categories.


This book constitutes the refereed proceedings of the 6th IAPR TC3 International Workshop on Artificial Neural Networks in Pattern Recognition, ANNPR 2014, held in Montreal, QC, Canada, in October 2014. The 24 revised full papers presented were carefully reviewed and selected from 37 submissions for inclusion in this volume. They cover a large range of topics in the field of learning algorithms and architectures and discussing the latest research, results, and ideas in these areas.



Artificial Neural Networks In Pattern Recognition


Artificial Neural Networks In Pattern Recognition
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Author : Nadia Mana
language : en
Publisher: Springer
Release Date : 2012-09-11

Artificial Neural Networks In Pattern Recognition written by Nadia Mana and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-09-11 with Computers categories.


This book constitutes the refereed proceedings of the 5th INNS IAPR TC3 GIRPR International Workshop on Artificial Neural Networks in Pattern Recognition, ANNPR 2012, held in Trento, Italy, in September 2012. The 21 revised full papers presented were carefully reviewed and selected for inclusion in this volume. They cover a large range of topics in the field of neural network- and machine learning-based pattern recognition presenting and discussing the latest research, results, and ideas in these areas.



Artificial Neural Networks In Pattern Recognition


Artificial Neural Networks In Pattern Recognition
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Author : Friedhelm Schwenker
language : en
Publisher: Springer
Release Date : 2016-09-08

Artificial Neural Networks In Pattern Recognition written by Friedhelm Schwenker and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-09-08 with Computers categories.


This book constitutes the refereed proceedings of the 7th IAPR TC3 International Workshop on Artificial Neural Networks in Pattern Recognition, ANNPR 2016, held in Ulm, Germany, in September 2016. The 25 revised full papers presented together with 2 invited papers were carefully reviewed and selected from 32 submissions for inclusion in this volume. The workshop will act as a major forum for international researchers and practitioners working in all areas of neural network- and machine learning-based pattern recognition to present and discuss the latest research, results, and ideas in these areas.



Artificial Neural Networks In Pattern Recognition


Artificial Neural Networks In Pattern Recognition
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Author : Friedhelm Schwenker
language : en
Publisher: Springer
Release Date : 2010-04-16

Artificial Neural Networks In Pattern Recognition written by Friedhelm Schwenker and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-04-16 with Computers categories.


Artificial Neural Networks in Pattern Recognition synthesizes the proceedings of the 4th IAPR TC3 Workshop, ANNPR 2010. Topics include supervised and unsupervised learning, feature selection, pattern recognition in signal and image processing.



An Introduction To Biological And Artificial Neural Networks For Pattern Recognition


An Introduction To Biological And Artificial Neural Networks For Pattern Recognition
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Author : Steven K. Rogers
language : en
Publisher: SPIE Press
Release Date : 1991

An Introduction To Biological And Artificial Neural Networks For Pattern Recognition written by Steven K. Rogers and has been published by SPIE Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1991 with Neural circuitry categories.




Neural Networks For Pattern Recognition


Neural Networks For Pattern Recognition
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Author : Albert Nigrin
language : en
Publisher: MIT Press
Release Date : 1993

Neural Networks For Pattern Recognition written by Albert Nigrin and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1993 with Computers categories.


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.