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  • Conference proceedings
  • © 2020

Progress in Computer Recognition Systems

Editors:

  1. Robert Burduk

    1. Faculty of Electronics, Wroclaw University of Science and Technology, Wrocław, Poland

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    You can also search for this editor in PubMed   Google Scholar

  2. Marek Kurzynski

    1. Faculty of Electronics, Wroclaw University of Science and Technology, Wrocław, Poland

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    You can also search for this editor in PubMed   Google Scholar

  3. Michał Wozniak

    1. Faculty of Electronics, Wroclaw University of Science and Technology, Wrocław, Poland

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    You can also search for this editor in PubMed   Google Scholar

  • Highlights recent research on Computer Recognition Systems
  • Gathers the Proceedings of the 11th International Conference on Computer Recognition Systems (CORES 2019), held May 20–22 in Polanica Zdroj, Poland
  • Addresses both methodological aspects and various application areas of pattern recognition

Part of the book series: Advances in Intelligent Systems and Computing (AISC, volume 977)

Conference series link(s): CORES: International Conference on Computer Recognition Systems

Conference proceedings info: CORES 2019.

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Table of contents (36 papers)

  1. Front Matter

    Pages i-x
    PDF

  4. Combined kNN Classifier for Classification of Incomplete Data

    • Tomasz Orczyk, Rafal Doroz, Piotr Porwik
    Pages 21-26

  5. Object Detection in Design Diagrams with Machine Learning

    • Jukka K. Nurminen, Kari Rainio, Jukka-Pekka Numminen, Timo Syrjänen, Niklas Paganus, Karri Honkoila
    Pages 27-36

  6. Separation of Speech from Speech Interference Based on EGG

    • Lijiang Chen, Lin Sun, Xia Mao
    Pages 37-46

  8. Exploiting Label Interdependencies in Multi-label Classification

    • Kinga Glinka, Agnieszka Wosiak, Danuta Zakrzewska
    Pages 57-66

  9. Toward Shareable Multi-abstraction-level Feature Extractor Based on a Bayesian Network

    • Kaneharu Nishino, Hiroshi Tezuka, Mary Inaba
    Pages 67-78

  10. Factorization Machines for Blog Feedback Prediction

    • Krisztian Buza, Tomaš Horváth
    Pages 79-85

  11. Vertical and Horizontal Data Partitioning for Classifier Ensemble Learning

    • Amgad M. Mohammed, Enrique Onieva, Michał Woźniak
    Pages 86-97

  12. Segmentation of Subretinal Hyperreflective Material and Pigment Epithelial Detachment Using Kernel Graph Cut

    • Melinda Katona, Attila Kovács, Rózsa Dégi, László G. Nyúl
    Pages 98-105

  13. Road Tracking Using Deep Reinforcement Learning for Self-driving Car Applications

    • Raid Rafi Omar Al-Nima, Tingting Han, Taolue Chen
    Pages 106-116

  14. New Heuristics for TCP Retransmission Timers

    • Robert Janowski, Michał Grabowski, Piotr Arabas
    Pages 117-129

  15. Fault-Prone Software Classes Recognition via Artificial Neural Network with Granular Dataset Balancing

    • Marek Pawlicki, Agata Giełczyk, Rafał Kozik, Michał Choraś
    Pages 130-140

  16. Segmentation of Scanned Documents Using Deep-Learning Approach

    • Paweł Forczmański, Anton Smoliński, Adam Nowosielski, Krzysztof Małecki
    Pages 141-152

  18. Online Adaptation of Language Models for Speech Recognition

    • Dang Hoang Vu, Van Huy Nguyen, Phuong Le-Hong
    Pages 164-173

  19. Pedestrian Detection in Severe Lighting Conditions: Comparative Study of Human Performance vs Thermal-Imaging-Based Automatic System

    • Adam Nowosielski, Krzysztof Małecki, Paweł Forczmański, Anton Smoliński
    Pages 174-183

  20. Feature Extraction and Classification of Sensor Signals in Cars Based on a Modified Codebook Approach

    • Hawzhin Hozhabr Pour, Lukas Wegmeth, Alexander Kordes, Marcin Grzegorzek, Roland Wismüller
    Pages 184-194
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Other Volumes

  1. Progress in Computer Recognition Systems

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About this book

This book highlights recent research on computer recognition systems, one of the most promising directions in artificial intelligence. Offering the most comprehensive study on this field to date, it gathers 36 carefully selected articles contributed by experts on pattern recognition.

Presenting recent research on methodology and applications, the book offers a valuable reference tool for scientists whose work involves designing computer pattern recognition systems. Its target audience also includes researchers and students in computer science, artificial intelligence, and robotics. 

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Keywords

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Editors and Affiliations

  • Faculty of Electronics, Wroclaw University of Science and Technology, Wrocław, Poland

    Robert Burduk, Marek Kurzynski, Michał Wozniak

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Bibliographic Information

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Access via your institution

Buy it now

eBook USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

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