Artificial Neural Networks in Pattern Recognition
8th IAPR TC3 Workshop, ANNPR 2018, Siena, Italy, September 19–21, 2018, Proceedings
Seiten
2018
|
1st ed. 2018
Springer International Publishing (Verlag)
978-3-319-99977-7 (ISBN)
Springer International Publishing (Verlag)
978-3-319-99977-7 (ISBN)
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.
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.
Erscheinungsdatum | 31.08.2018 |
---|---|
Reihe/Serie | Lecture Notes in Artificial Intelligence | Lecture Notes in Computer Science |
Zusatzinfo | XI, 408 p. 132 illus. |
Verlagsort | Cham |
Sprache | englisch |
Maße | 155 x 235 mm |
Gewicht | 634 g |
Themenwelt | Informatik ► Datenbanken ► Data Warehouse / Data Mining |
Informatik ► Grafik / Design ► Digitale Bildverarbeitung | |
Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
Schlagworte | Applications • Artificial Intelligence • classification • Clustering • clustering algorithms • Computer Science • conference proceedings • Data Security • Feature Selection • Image Processing • Image Segmentation • Informatics • Learning Algorithms • machine learning • network architecture • Neural networks • Object recognition • pattern recognition • Recurrent Neural Networks • Research • Semantics • supervised learning • Support Vector Machines (SVM) |
ISBN-10 | 3-319-99977-X / 331999977X |
ISBN-13 | 978-3-319-99977-7 / 9783319999777 |
Zustand | Neuware |
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