Pattern Recognition and Information Processing
15th International Conference, PRIP 2021, Minsk, Belarus, September 21-24, 2021, Revised Selected Papers
(Sprache: Englisch)
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...
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Klappentext zu „Pattern Recognition and Information Processing “
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.
Inhaltsverzeichnis zu „Pattern Recognition and Information Processing “
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.
Bibliographische Angaben
- 2022, 1st ed. 2022, XII, 245 Seiten, 82 farbige Abbildungen, Maße: 15,5 x 23,5 cm, Kartoniert (TB), Englisch
- Herausgegeben: Alexander V. Tuzikov, Alexei M. Belotserkovsky, Marina M. Lukashevich
- Verlag: Springer, Berlin
- ISBN-10: 3030988821
- ISBN-13: 9783030988821
Sprache:
Englisch
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