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Proceedings of the 9th International Conference on Computer Recognition Systems CORES 2015

  • Conference proceedings
  • © 2016

Overview

Editors:
  1. Robert Burduk

    1. Department of Systems, Wrocław University of Technology, Wroclaw, Poland

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  2. Konrad Jackowski

    1. Department of Systems and Computer, Wrocław University of Technology, Wroclaw, Poland

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  3. Marek Kurzyński

    1. Department of Systems and Computer, Wrocław University of Technology, Wroclaw, Poland

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  4. Michał Woźniak

    1. Dept. of Systems and Computer Networks, Wrocław University of Technology, Wroclaw, Poland

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  5. Andrzej Żołnierek

    1. Department of Systems, Wrocław University of Technology, Wroclaw, Poland

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  • Recent research in Computer Recognition Systems
  • Proceedings of the 9th International Conference on Computer Recognition Systems CORES 2015
  • Presents both methodological issues and different application areas of pattern recognition
  • Includes supplementary material: sn.pub/extras

Part of the book series: Advances in Intelligent Systems and Computing (AISC, volume 403)

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Table of contents (79 papers)

  1. Front Matter

    Pages i-xiv
    Download chapter PDF

  2. Features, Learning and Classifiers

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. New Ordering-Based Pruning Metrics for Ensembles of Classifiers in Imbalanced Datasets

      • Mikel Galar, Alberto Fernández, Edurne Barrenechea, Humberto Bustince, Francisco Herrera
      Pages 3-15

    3. A Variant of the K-Means Clustering Algorithm for Continuous-Nominal Data

      • Aleksander Denisiuk, Michał Grabowski
      Pages 17-26

    4. Combining One-vs-One Decomposition and Ensemble Learning for Multi-class Imbalanced Data

      • Bartosz Krawczyk
      Pages 27-36

    5. Combining One-Versus-One and One-Versus-All Strategies to Improve Multiclass SVM Classifier

      • Wiesław Chmielnicki, Katarzyna Sta̧por
      Pages 37-45

    6. A Wrapper Evolutionary Approach for Supervised Multivariate Discretization: A Case Study on Decision Trees

      • Sergio Ramírez-Gallego, Salvador García, José Manuel Benítez, Francisco Herrera
      Pages 47-58

    7. Extreme Learning Machine as a Function Approximator: Initialization of Input Weights and Biases

      • Grzegorz Dudek
      Pages 59-69

    8. Electron Neutrino Classification in Liquid Argon Time Projection Chamber Detector

      • Piotr Płoński, Dorota Stefan, Robert Sulej, Krzysztof Zaremba
      Pages 71-79

    9. Stroke Tissue Pattern Recognition Based on CT Texture Analysis

      • Grzegorz Ostrek, Artur Nowakowski, Magdalena Jasionowska, Artur Przelaskowski, Kazimierz Szopiński
      Pages 81-90

    10. Conversion of Belief Networks into Belief Rules: A New Approach

      • Teresa Mroczek, Zdzislaw S. Hippe
      Pages 91-100

    11. Semi-supervised Naive Hubness Bayesian k-Nearest Neighbor for Gene Expression Data

      • Krisztian Buza
      Pages 101-110

    12. The Multi-Ranked Classifiers Comparison

      • Norbert Jankowski
      Pages 111-123

    13. Using a Genetic Algorithm for Selection of Starting Conditions for the EM Algorithm for Gaussian Mixture Models

      • Wojciech Kwedlo
      Pages 125-134

    14. On the Combination of Pairwise and Granularity Learning for Improving Fuzzy Rule-Based Classification Systems: GL-FARCHD-OVO

      • Pedro Villar, Alberto Fernández, Francisco Herrera
      Pages 135-146

    15. Measures for Combining Prediction Intervals Uncertainty and Reliability in Forecasting

      • Vânia Almeida, João Gama
      Pages 147-157

    16. Detection of Elongated Structures with Hierarchical Active Partitions and CEC-Based Image Representation

      • Arkadiusz Tomczyk, Przemysław Spurek, Michał Podgórski, Krzysztof Misztal, Jacek Tabor
      Pages 159-168

    17. Text Detection in Document Images by Machine Learning Algorithms

      • Darko Zelenika, Janez Povh, Bernard Ženko
      Pages 169-179

    18. Blind Source Separation for Improved Load Forecasting on Individual Household Level

      • Krzysztof Gajowniczek, Tomasz Za̧bkowski, Ryszard Szupiluk
      Pages 181-190

    19. Hierarchical Gaussian Mixture Model with Objects Attached to Terminal and Non-terminal Dendrogram Nodes

      • Łukasz P. Olech, Mariusz Paradowski
      Pages 191-201
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Keywords

About this book

The computer recognition systems are nowadays one of the most promising directions in artificial intelligence. This book is the most comprehensive study of this field. It contains a collection of 79 carefully selected articles contributed by experts of pattern recognition. It reports on current research with respect to both methodology and applications. In particular, it includes the following sections:

  • Features, learning, and classifiers
  • Biometrics
  • Data Stream Classification and Big Data Analytics
  • Image processing and computer vision
  • Medical applications
  • Applications
RGB-D perception: recent developments and applications

This book is a great reference tool for scientists who deal with the problems of designing computer pattern recognition systems. Its target readers can be the as well researchers as students of computer science, artificial intelligence or robotics.

 

Editors and Affiliations

  • Department of Systems, Wrocław University of Technology, Wroclaw, Poland

    Robert Burduk, Andrzej Żołnierek

  • Department of Systems and Computer, Wrocław University of Technology, Wroclaw, Poland

    Konrad Jackowski, Marek Kurzyński

  • Dept. of Systems and Computer Networks, Wrocław University of Technology, Wroclaw, Poland

    Michał Woźniak

Bibliographic Information

  • Book Title: Proceedings of the 9th International Conference on Computer Recognition Systems CORES 2015

  • Editors: Robert Burduk, Konrad Jackowski, Marek Kurzyński, Michał Woźniak, Andrzej Żołnierek

  • Series Title: Advances in Intelligent Systems and Computing

  • DOI: https://doi.org/10.1007/978-3-319-26227-7

  • Publisher: Springer Cham

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer International Publishing Switzerland 2016

  • Softcover ISBN: 978-3-319-26225-3Published: 05 March 2016

  • eBook ISBN: 978-3-319-26227-7Published: 05 March 2016

  • Series ISSN: 2194-5357

  • Series E-ISSN: 2194-5365

  • Edition Number: 1

  • Number of Pages: XIV, 855

  • Number of Illustrations: 134 b/w illustrations, 145 illustrations in colour

  • Topics: Artificial Intelligence, Computational Intelligence, Pattern Recognition

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