Pattern Recognition. ICPR International Workshops and Challenges

1. Front Matter

   Pages i-xix

   PDF

2. IMTA VII - Workshop on Image Mining Theory and Applications

   1. Front Matter

      Pages 1-4

      PDF

   2. The Study of Improving the Accuracy of Convolutional Neural Networks in Face Recognition Tasks

      • Nikita Andriyanov, Vitaly Dementev, Alexandr Tashlinskiy, Konstantin Vasiliev

      Pages 5-14

   3. Estimate of the Neural Network Dimension Using Algebraic Topology and Lie Theory

      • Luciano Melodia, Richard Lenz

      Pages 15-29

   4. On the Depth of Gestalt Hierarchies in Common Imagery

      • Eckart Michaelsen

      Pages 30-43

   5. Image Recognition Algorithms Based on the Representation of Classes by Convex Hulls

      • Anatoly Nemirko

      Pages 44-50

   6. Tire Surface Segmentation in Infrared Imaging with Convolutional Neural Networks

      • Rodrigo Nava, Duc Fehr, Frank Petry, Thomas Tamisier

      Pages 51-62

   7. Human Action Recognition Using Recurrent Bag-of-Features Pooling

      • Marios Krestenitis, Nikolaos Passalis, Alexandros Iosifidis, Moncef Gabbouj, Anastasios Tefas

      Pages 63-76

   8. Algorithms Based on Maximization of the Mutual Information for Measuring Parameters of Canvas Texture from Images

      • Dmitry M. Murashov, Aleksey V. Berezin, Ekaterina Yu. Ivanova

      Pages 77-89

   9. Machine Learning Approach for Contactless Photoplethysmographic Measurement Verification

      • Ivan Semchuk, Natalia Muravskaya, Konstantin Zlobin, Andrey Samorodov

      Pages 90-96

   10. On New Kemeny’s Medians

       • Sergey Dvoenko, Denis Pshenichny

       Pages 97-102

   11. Image Decomposition Based on Region-Constrained Smoothing

       • Pavel A. Chochia

       Pages 103-111

   12. Machine Learning Based on Minimizing Robust Mean Estimates

       • Zaur M. Shibzukhov, Timofey A. Semenov

       Pages 112-119

   13. The Use of Machine Learning Methods to Detect Defects in Images of Metal Structures

       • Vitalii E. Dementev, Maria A. Gaponova, Marat R. Suetin, Anastasia S. Streltzova

       Pages 120-128

   14. Multiregion Multiscale Image Segmentation with Anisotropic Diffusion

       • V. B. Surya Prasath, Dang Ngoc Hoang Thanh, Nguyen Hoang Hai, Sergey Dvoenko

       Pages 129-140

   15. The Test of Covariation Functions of Cylindrical and Circular Images

       • Victor Krasheninnikov, Yuliya Kuvayskova, Olga Malenova, Alexey Subbotin

       Pages 141-154

   16. One-Class Classification Criterion Robust to Anomalies in Training Dataset

       • Aleksandr O. Larin, Oleg S. Seredin, Andrey V. Kopylov

       Pages 155-165

   17. Recognition of Tomographic Images in the Diagnosis of Stroke

       • Kirill Kalmutskiy, Andrey Tulupov, Vladimir Berikov

       Pages 166-171

   18. Two-Stage Classification Model for Feather Images Identification

       • Alina Belko, Konstantin Dobratulin, Andrey Kunznetsov

       Pages 172-181

   19. An Objective Comparison of Ridge/Valley Detectors by Image Filtering

       • Ghulam-Sakhi Shokouh, Baptiste Magnier, Binbin Xu, Philippe Montesinos

       Pages 182-197

This 8-volumes set constitutes the refereed of the 25^th International Conference on Pattern Recognition Workshops, ICPR 2020, held virtually in Milan, Italy and rescheduled to January 10 - 11, 2021 due to Covid-19 pandemic. The 416 full papers presented in these 8 volumes were carefully reviewed and selected from about 700 submissions. The 46 workshops cover a wide range of areas including machine learning, pattern analysis, healthcare, human behavior, environment, surveillance, forensics and biometrics, robotics and egovision, cultural heritage and document analysis, retrieval, and women at ICPR2020.

• artificial intelligence
• computer networks
• computer science
• computer systems
• computer vision
• databases
• education
• engineering
• face recognition
• image analysis
• image processing
• image quality
• image reconstruction
• image segmentation
• internet
• machine learning
• mathematics
• neural networks
• pattern recognition
• signal processing

• Dipartimento di Ingegneria dell’Informazione, University of Firenze, Firenze, Italy

  Alberto Del Bimbo, Marco Bertini

• Dipartimento di Ingegneria “Enzo Ferrari”, Università di Modena e Reggio Emilia, Modena, Italy

  Rita Cucchiara, Roberto Vezzani

• Department of Computer Science, Boston University, Boston, USA

  Stan Sclaroff

• Dipartimento di Matematica e Informatica, University of Catania, Catania, Italy

  Giovanni Maria Farinella

• Cloud & AI, JD.COM, Beijing, China

  Tao Mei

• Computational Sciences Department, National Institute of Astrophysics, Optics and Electronics (INAOE), Tonantzintla, Mexico

  Hugo Jair Escalante

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