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Pattern Recognition and Information Processing de Alexander V. Tuzikov

Pattern Recognition and Information Processing: Communications in Computer and Information Science, cartea 1562

Editat de Alexander V. Tuzikov, Alexei M. Belotserkovsky, Marina M. Lukashevich
en Limba Engleză Paperback – 18 mar 2022
This book constitutes the refereed proceedings of the 15th International Conference on Pattern Recognition and Information Processing, PRIP 2021, held in Minsk, Belarus, in September 2021. Due to the COVID-19 pandemic the conference was held online. 

The 17 revised full papers were carefully reviewed and selected from 90 submissions. The papers present a discussion on theoretical and applied aspects of computer vision, recognition of signals and images, the use of distributed resources, and high-performance systems.
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Specificații

ISBN-13: 9783030988821
ISBN-10: 3030988821
Pagini: 260
Ilustrații: XII, 245 p. 133 illus., 82 illus. in color.
Dimensiuni: 155 x 235 x 15 mm
Greutate: 0.4 kg
Ediția:1st edition 2022
Editura: Springer
Colecția Communications in Computer and Information Science
Seria Communications in Computer and Information Science

Locul publicării:Cham, Switzerland

Cuprins

Retinal Image Analysis Approach for Diabetic Retinopathy Grading.- Mask R-CNN-based system for automated reindeer recognition and counting from aerial photographs.- Smart Tiling for Program Optimization and Parallelization.- Classification of Histology Images based on a Compact 3D Representation.- Authentication System Based on Biometric Data of Smiling Face from Stacked Autoencoder and Concatenated Reed-Solomon Codes.- Formalization of people and crowd detection and tracking for smart video surveillance.- Predicting events by analyzing the results of the work of predictive models.- Digest of Blockchain Technologies to Design System for Big Image Data Provenance and Security.- Generative Autoencoders for Designing Novel Small-Molecule Compounds As Potential Sars-COV-2 Main Protease Inhibitors.- Comparison of data preprocessing algorithms for nuclear segmentation in fluorescent immunohistology images of cancer cells.- A Bottom-up Methodfor Pose Detection of Multiple People on Real-Time Video.- Formalisation of Motion description in Microscopy Images.- Detection of features regions  of Syndrome in Multiple Sclerosis on MRI.- Automatic tuning of the motion control system of a mobile robot along a trajectory based on the reinforcement learning method.- Simulation Modelling And Machine Learning Platforfm For Processing Fluorescence Spectroscopy Data.- Comparing the Performance of Classical and Deep Learning Methods on Small Image Datasets.- Investigation of the GAN-SSL Classifier Properties for Identification Expertise.