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Off the Mainstream: Advances in Neural Networks and Machine Learning for Pattern Recognition

Off the Mainstream: Advances in Neural Networks and Machine Learning for Pattern Recognition Neural Process Lett (2018) 48:643–648 https://doi.org/10.1007/s11063-018-9830-8 Off the Mainstream: Advances in Neural Networks and Machine Learning for Pattern Recognition 1 2 Edmondo Trentin · Friedhelm Schwenker · 3 4 Neamat El Gayar · Hazem M. Abbas Published online: 5 June 2018 © Springer Science+Business Media, LLC, part of Springer Nature 2018 This Special Issue (SI) originates from an event we organized in Ulm, Germany, in September 2016, namely the seventh IAPR TC3 Workshop on Artificial Neural Networks in Pattern Recognition (ANNPR2016) [18], sponsored by the International Association for Pattern Recognition (IAPR) and managed by its Technical Committee 3 on Neural Networks and Computational Intelligence (TC3). In the era of deep learning, ANNPR2016 aimed to create a common ground for researchers active specifically in applications to pattern recognition tasks of neural networks and other machine learning approaches. After the success of the workshop, and in the light of the exquisite scientific contribution of several presentations given therein, it came to our minds the idea of proposing a special issue of a relevant journal, to be based on extended versions of selected papers from ANNPR2016. The Editorial Board of Neural Processing Letters accepted the proposal, encouraging us to proceed with the http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Neural Processing Letters Springer Journals

Off the Mainstream: Advances in Neural Networks and Machine Learning for Pattern Recognition

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Publisher
Springer Journals
Copyright
Copyright © 2018 by Springer Science+Business Media, LLC, part of Springer Nature
Subject
Computer Science; Artificial Intelligence (incl. Robotics); Complex Systems; Computational Intelligence
ISSN
1370-4621
eISSN
1573-773X
DOI
10.1007/s11063-018-9830-8
Publisher site
See Article on Publisher Site

Abstract

Neural Process Lett (2018) 48:643–648 https://doi.org/10.1007/s11063-018-9830-8 Off the Mainstream: Advances in Neural Networks and Machine Learning for Pattern Recognition 1 2 Edmondo Trentin · Friedhelm Schwenker · 3 4 Neamat El Gayar · Hazem M. Abbas Published online: 5 June 2018 © Springer Science+Business Media, LLC, part of Springer Nature 2018 This Special Issue (SI) originates from an event we organized in Ulm, Germany, in September 2016, namely the seventh IAPR TC3 Workshop on Artificial Neural Networks in Pattern Recognition (ANNPR2016) [18], sponsored by the International Association for Pattern Recognition (IAPR) and managed by its Technical Committee 3 on Neural Networks and Computational Intelligence (TC3). In the era of deep learning, ANNPR2016 aimed to create a common ground for researchers active specifically in applications to pattern recognition tasks of neural networks and other machine learning approaches. After the success of the workshop, and in the light of the exquisite scientific contribution of several presentations given therein, it came to our minds the idea of proposing a special issue of a relevant journal, to be based on extended versions of selected papers from ANNPR2016. The Editorial Board of Neural Processing Letters accepted the proposal, encouraging us to proceed with the

Journal

Neural Processing Letters – Springer Journals

Published: Jun 5, 2018

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