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Computer Recognition Systems

Proceedings of 4th International Conference on Computer Recognition Systems CORES'05

  • Conference proceedings
  • © 2005

Overview

Editors:
  1. Marek Kurzyński

    1. Faculty of Electronics, Wroclaw University of Technology, Wroclaw, Poland

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  2. Edward Puchała

    1. Faculty of Electronics, Wroclaw University of Technology, Wroclaw, Poland

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  3. Michał Woźniak

    1. Faculty of Electronics, Wroclaw University of Technology, Wroclaw, Poland

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  4. Andrzej żołnierek

    1. Faculty of Electronics, Wroclaw University of Technology, Wroclaw, Poland

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  • Presents the latest results in Computer recognition Systems, Pattern Recognition, Machine Learning, Web and Data mining
  • Includes supplementary material: sn.pub/extras

Part of the book series: Advances in Intelligent and Soft Computing (AINSC, volume 30)

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Table of contents (105 papers)

  1. Front Matter

    Pages I-XVIII
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  2. Invited Papers

    1. Front Matter

      Pages 1-1
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    2. Neural Network-Based Chaotic Pattern Recognition — Part 2: Stability and Algorithmic Issues

      • D. Calitoiu, John B. Oommen, D. Nussbaum
      Pages 3-16

    3. A Brief Survey of Dynamic Texture Description and Recognition

      • Dmitry Chetverikov, Renaud Péteri
      Pages 17-26

    4. Open Issues in Pattern Recognition

      • Robert P. W. Duin, Elżbieta Pekalska
      Pages 27-42

    5. The Role of Ontological Models in Pattern Recognition

      • Juliusz L. Kulikowski
      Pages 43-52

    6. Current Feature Selection Techniques in Statistical Pattern Recognition

      • Pavel Pudil, Petr Somol
      Pages 53-68

  3. Features, Learning and Classifiers

    1. Front Matter

      Pages 69-69
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    2. Margin-based Diversity Measures for Ensemble Classifiers

      • Tomasz Arodź
      Pages 71-78

    3. Boosting the Fisher Linear Discriminant with Random Feature Subsets

      • Tomasz Arodź
      Pages 79-86

    4. A Look-Ahead Branch and Bound Pruning Scheme for Trie-Based Approximate String Matching

      • Ghada Badr, John B. Oommen
      Pages 87-94

    5. Feature Selection for High-Dimensional Data: A Kolmogorov-Smirnov Correlation-Based Filter

      • Jacek Biesiada, Włodzisław Duch
      Pages 95-103

    6. Linear Ranked Regression - Designing Principles

      • Leon Bobrowski
      Pages 105-112

    7. Time Series Patterns Recognition with Genetic Algorithms

      • Marcin Borkowski
      Pages 113-120

    8. Selection of Fuzzy-Valued Loss Function in Two Stage Binary Classifier

      • Robert Burduk
      Pages 121-128

    9. A New Rejection Strategy for Convolutional Neural Network by Adaptive Topology

      • Hubert Cecotti, Abdel Belaïd
      Pages 129-136

    10. Fast PCA and LDA for JPEG Images

      • Weilong Chen, Meng Joo Er, Shiqian Wu
      Pages 137-144

    11. A Hybrid ε-Insensitive Learning of Fuzzy Systems

      • Tomasz Czogala, Jacek M. Leski
      Pages 145-152

    12. The Incremental Method for Discovery of Association Rules

      • Damian Dudek, Aleksander Zgrzywa
      Pages 153-160

    13. Feature Extraction with Wavelet Transformation for Statistical Object Recognition

      • Marcin Grzegorzek, Michael Reinhold, Heinrich Niemann
      Pages 161-168
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Keywords

About this book

th This book contains papers accepted for presentation at the 4 International Conference on Computer Recognition Systems CORES'05, May 22-25, 2005, Rydzyna Castle (Poland), This conference is a continuation of a series of con­ ferences on similar topics (KOSYR) organized each second year, since 1999, by the Chair of Systems and Computer Networks, Wroclaw University of Tech­ nology. An increasing interest to those conferences paid not only by home but also by foreign participants inspired the organizers to transform them into conferences of international range. Our expectations that the community of specialists in computer recognizing systems will find CORES'05 a proper form of maintaining the tradition of the former conferences have been confirmed by a large number of submitted papers. Alas, organizational constraints caused a necessity to narrow the acceptance criteria so that only 100 papers have been finally included into the conference program. The area covered by accepted papers is still very large and it shows how vivacious is scientific activity in the domain of computer recognition methods and systems. It contains vari­ ous theoretical approaches to the recognition problem based on mathematical statistics, fuzzy sets, morphological methods, wavelets, syntactic methods, genetic algorithms, artificial neural networks, ontological models, etc. Most attention is still paid to visual objects recognition; however, acoustic, tex­ tual and other objects are also considered. Among application areas medical problems are in majority; recognition of faces, speech signals and textual in­ formation processing methods being also investigated.

Editors and Affiliations

  • Faculty of Electronics, Wroclaw University of Technology, Wroclaw, Poland

    Marek Kurzyński, Edward Puchała, Michał Woźniak, Andrzej żołnierek

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