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Artificial Neural Networks in Pattern Recognition

7th IAPR TC3 Workshop, ANNPR 2016, Ulm, Germany, September 28-30, 2016, Proceedings

Jezik AngleščinaAngleščina
Knjiga Mehka
Knjiga Artificial Neural Networks in Pattern Recognition Friedhelm Schwenker
Koda Libristo: 13787331
Založba Springer International Publishing AG, september 2016
This book constitutes the refereed proceedings of the 7th IAPR TC3 International Workshop on Artific... Celoten opis
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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.

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O knjigi

Polni naslov Artificial Neural Networks in Pattern Recognition
Avtor Friedhelm Schwenker, Hazem M. Abbas, Neamat El Gayar, Edmondo Trentin
Jezik Angleščina
Vezava Knjiga - Mehka
Datum izida 2016
Število strani 335
EAN 9783319461816
ISBN 3319461818
Koda Libristo 13787331
Založba Springer International Publishing AG
Teža 534
Mere 155 x 235 x 21

Kategorije

Technology, Engineering, Agriculture > Electronics & communications engineering > Electronics engineering > Automatic control engineering > Robotics
Computing & Information Technology > Computer science > Artificial intelligence > Expert systems / knowledge-based systems
Computing & Information Technology > Computer science > Artificial intelligence > Pattern recognition
Computing & Information Technology > Computer science > Artificial intelligence > Computer vision
Computing & Information Technology > Computer science > Human–computer interaction > User interface design & usability
Computing & Information Technology > Databases > Data mining
Computing & Information Technology > Computer science > Image processing
Computing & Information Technology > Graphical & digital media applications
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