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Pattern Recognition and Information Processing

15th International Conference, PRIP 2021, Minsk, Belarus, September 21–24, 2021, Revised Selected Papers

  • Conference proceedings
  • © 2022

Overview

Editors:
  1. Alexander V. Tuzikov

    1. United Institute of Informatics Problems of The National Academy of Sciences of Belarus, Minsk, Belarus

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  2. Alexei M. Belotserkovsky

    1. United Institute of Informatics Problems of The National Academy of Sciences of Belarus, Minsk, Belarus

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  3. Marina M. Lukashevich

    1. Belarusian State University of Informatics and Radioelectronics, Minsk, Belarus

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Part of the book series: Communications in Computer and Information Science (CCIS, volume 1562)

Included in the following conference series:

Conference proceedings info: PRIP 2021.

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Table of contents (17 papers)

  1. Front Matter

    Pages i-xii
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  2. Classification of Histology Images Based on a Compact 3D Representation

    • Nadia Brancati, Crispino Cicala, Maria Frucci, Daniel Riccio
    Pages 1-11

  3. Smart Tiling for Program Optimization and Parallelization

    • Alexander Chemeris, Sergii Sushko, Svetlana Reznikova
    Pages 12-32

  4. Digest of Blockchain Technologies to Design System for Big Image Data Provenance and Security

    • Igor Zakharov, Jonathan Anderson, Garrett Parsons, Michael D. Henschel, Bryan Ewenson, Christopher Papanagiotou
    Pages 33-47

  5. Formalisation of Motion Description in Microscopy Images

    • Olga Nedzved, Igor Gurevich, Vera Yashina, Ren Tiaojuan, Ye Fangfang, Sergey Ablameyko
    Pages 48-63

  6. Predicting Events by Analyzing the Results of the Work of Predictive Models

    • Archil Prangishvili, Zurab Gasitashvili, Merab Pkhovelishvili, Natela Archvadze
    Pages 64-78

  7. Formalization of People and Crowd Detection and Tracking for Smart Video Surveillance

    • Huafeng Chen, Rykhard Bohush, Sergey Ablameyko
    Pages 79-90

  8. Investigation of the GAN-SSL Classifier Properties for Identification Expertise

    • Aleksandra Maksimova
    Pages 91-103

  9. Comparing the Performance of Classical and Deep Learning Methods on Small Image Datasets

    • Vassili Kovalev
    Pages 104-119

  10. Generative Autoencoders for Designing Novel Small-Molecule Compounds as Potential SARS-CoV-2 Main Protease Inhibitors

    • Mikita A. Shuldau, Artsemi M. Yushkevich, Ivan P. Bosko, Alexander V. Tuzikov, Alexander M. Andrianov
    Pages 120-136

  11. Mask R-CNN-Based System for Automated Reindeer Recognition and Counting from Aerial Photographs

    • Vladimir Valentinovich Mikhailov, Vladislav Alekseevich Sobolevskii, Leonid Aleksandrovich Kolpaschikov
    Pages 137-151

  12. Retinal Image Analysis Approach for Diabetic Retinopathy Grading

    • Yuliya Golub, Marina Lukashevich, Valery Starovoitov
    Pages 152-165

  13. Comparison of Deep Learning Preprocessing Algorithms of Nuclei Segmentation on Fluorescence Immunohistology Images of Cancer Cells

    • Silun Xu, Victor Skakun
    Pages 166-177

  14. Simulation Modelling and Machine Learning Platform for Processing Fluorescence Spectroscopy Data

    • Mikalai M. Yatskou, Vladimir V. Apanasovich
    Pages 178-190

  15. A Bottom-Up Method for Pose Detection of Multiple People on Real-Time Video

    • Aliaksandr Leunikau, Alexander Nedzved, Alexei Belotserkovsky, Stanislav Sholtanyuk
    Pages 191-204

  16. Authentication System Based on Biometric Data of Smiling Face from Stacked Autoencoder and Concatenated Reed-Solomon Codes

    • Boris Assanovich, Katsiaryna Kosarava
    Pages 205-219

  17. Detection of Features Regions of Syndrome in Multiple Sclerosis on MRI

    • Ivan Kosik, Alexander Nedzved, Ryhor Karapetsian, Vera Yashina, Igor Gurevich
    Pages 220-233

  18. Automatic Tuning of the Motion Control System of a Mobile Robot Along a Trajectory Based on the Reinforcement Learning Method

    • Kim Tatyana, Ryhor Prakapovich
    Pages 234-244

  19. Back Matter

    Pages 245-245
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  1. Pattern Recognition and Information Processing

Keywords

About this book

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.

Editors and Affiliations

  • United Institute of Informatics Problems of The National Academy of Sciences of Belarus, Minsk, Belarus

    Alexander V. Tuzikov, Alexei M. Belotserkovsky

  • Belarusian State University of Informatics and Radioelectronics, Minsk, Belarus

    Marina M. Lukashevich

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