Pattern Recognition and Artificial Intelligence
Third Mediterranean Conference, MedPRAI 2019, Istanbul, Turkey, December 22-23, 2019, Proceedings
Published on 17. December 2019
Book
Paperback/Softback
XII, 219 pages
978-3-030-37547-8 (ISBN)
Description
This book constitutes the refereed proceedings of the Third Mediterranean Conference on Pattern Recognition and Artificial Intelligence, MedPRAI 2019, held in Istanbul, Turkey, in December 2019.
The 18 revised full papers and one short paper presented were carefully selected from 54 submissions. The papers are covering the topics of recent advancements in different areas of pattern recognition and artificial intelligence, such as statistical, structural and syntactic pattern recognition, machine learning, data mining, neural networks, computer vision, multimedia systems, information retrieval, etc.More details
Series
Edition
2020 ed.
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Illustrations
302 s/w Abbildungen, 78 farbige Abbildungen
XII, 219 p. 380 illus., 78 illus. in color.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 13 mm
Weight
359 gr
ISBN-13
978-3-030-37547-8 (9783030375478)
DOI
10.1007/978-3-030-37548-5
Schweitzer Classification
Other editions
Additional editions
Chawki Djeddi | Akhtar Jamil | Imran Siddiqi
Pattern Recognition and Artificial Intelligence
Third Mediterranean Conference, MedPRAI 2019, Istanbul, Turkey, December 22-23, 2019, Proceedings
E-Book
12/2019
Springer
€53.49
Available for download
Content
Room-Level Indoor Localization with Arti?cial Neural Networks.- A Simple Authentication Method with Multilayer Feedforward Neural Network Using Keystroke Dynamics.- A Comparative Study of ANN Tuning Methods for Multiclass Daily Activity and Fall Recognition.- Exploring Model Transfer Potential for Airborne LiDAR Point Cloud Classi?cation.- Haralick Feature Guided Network for the Improvement of Generalization in Landcover Classification.- Determining Location and Detecting Changes Using a Single Training Video.- Improving Deep Learning Parkinson's Disease Detection Through Data Augmentation Training.- Human Action Recognition Using Stereo Trajectories.- Deep Convolutional Neural Network with 2D Spectral Energy Maps for Fault Diagnosis of Gearboxes under Variable Speed.- Bayesian Convolutional Neural Network: Robustly Quantify Uncertainty for Misclassi?cations Detection.- Particle Filter for Trajectories of Movers from Laser Scanned Dataset.- Video Steganography using 3D Convolutional Neural Networks.- DeepRank: Adapting Neural Tensor Networks for Ranking the Recommendations.- An Intelligent Context Aware Recommender System For Real-Estate.- Integration of fuzzy clustering into the Case Base Reasoning for the prediction of response to immunotherapy treatment.- Music Generation using an Interactive Evolutionary Algorithm.