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Pattern Recognition and Artificial Intelligence: Third Mediterranean Conference, MedPRAI 2019, Istanbul, Turkey, December 22–23, 2019, Proceedings de Chawki Djeddi

Pattern Recognition and Artificial Intelligence: Third Mediterranean Conference, MedPRAI 2019, Istanbul, Turkey, December 22–23, 2019, Proceedings: Communications in Computer and Information Science, cartea 1144

Editat de Chawki Djeddi, Akhtar Jamil, Imran Siddiqi
en Limba Engleză Paperback – 17 dec 2019
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.
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Specificații

ISBN-13: 9783030375478
ISBN-10: 3030375471
Pagini: 219
Ilustrații: XII, 219 p. 380 illus., 78 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.33 kg
Ediția:1st ed. 2020
Editura: Springer International Publishing
Colecția Springer
Seria Communications in Computer and Information Science

Locul publicării:Cham, Switzerland

Cuprins

Room-Level Indoor Localization with Artificial 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 Classification.- 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 Misclassifications 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.