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Intelligent Data Engineering and Automated Learning -- IDEAL 2012

13th International Conference, Natal, Brazil, August 29-31, 2012, Proceedings

  • Conference proceedings
  • © 2012

Overview

Editors:
  1. Hujun Yin

    1. School of Electrical and Electronic Engineering, The University of Manchester, Manchester, UK

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  2. José A. F. Costa

    1. Department of Electrical Engineering, Federal University of Rio Grande do Norte, Natal, Brazil

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  3. Guilherme Barreto

    1. Department of Teleinformatics Engineering, Federal University of Ceará, Fortaleza, Brazil

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  • Fast-track conference proceedings State-of-the-art research Up-to-date results

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 7435)

Part of the book sub series: Information Systems and Applications, incl. Internet/Web, and HCI (LNISA)

Included in the following conference series:

Conference proceedings info: IDEAL 2012.

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About this book

This book constitutes the refereed proceedings of the 13th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2012, held in Natal, Brazil, in August 2012. The 100 revised full papers presented were carefully reviewed and selected from more than 200 submissions for inclusion in the book and present the latest theoretical advances and real-world applications in computational intelligence.

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Table of contents (101 papers)

  1. Front Matter

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  2. Artificial Bee Colony Algorithm with Improved Explorations for Numerical Function Optimization

    1. Artificial Bee Colony Algorithm with Improved Explorations for Numerical Function Optimization

      • Mohammad Shafiul Alam, Md. Monirul Islam, Kazuyuki Murase
      Pages 1-8

    2. Extensions of Ant-Miner Algorithm to Deal with Class Imbalance Problem

      • Murilo Zangari, Wesley Romão, Ademir Aparecido Constantino
      Pages 9-18

    3. Multivoxel Pattern Analysis Using Information-Preserving EMD

      • Zareen Mehboob, Hujun Yin, Sophie M. Wuerger, Laura M. Parkes
      Pages 19-26

    4. Population Resizing Using Nonlinear Dynamics in an Ecology-Based Approach

      • Rafael Stubs Parpinelli, Heitor Silvério Lopes
      Pages 27-34

    5. Multi-class Contour Preserving Classification

      • Piyabute Fuangkhon, Thitipong Tanprasert
      Pages 35-42

    6. Automated Bone Age Assessment Using Feature Extraction

      • Luke M. Davis, Barry-John Theobald, Anthony Bagnall
      Pages 43-51

    7. A Hybrid Approach Based on DCT-Genetic-Fuzzy Inference System for Speech Recognition

      • Washington Silva, Ginalber Serra
      Pages 52-59

    8. An Approach to Reshaping Clusters for Nearest Neighbor Search

      • Yong Shi, Brian Graham
      Pages 60-67

    9. Interestingness Measures for Fixed Consequent Rules

      • Jon Hills, Luke M. Davis, Anthony Bagnall
      Pages 68-75

    10. Abnormal Event Detection via Multi-Instance Dictionary Learning

      • Jing Huo, Yang Gao, Wanqi Yang, Hujun Yin
      Pages 76-83

    11. Static Packet Routing in NoC Platform Using ACO-Based Algorithms

      • Luneque Silva Junior, Nadia Nedjah, Luiza de Macedo Mourelle
      Pages 84-91

    12. Segmentation of Mammography by Applying Extreme Learning Machine in Tumor Detection

      • Cordeiro F.R., Lima S.M.L., Silva-Filho A.G., Santos W.P.
      Pages 92-100

    13. An ANN Speed Observer Applied to Three-Phase Induction Motor

      • Tiago Henrique dos Santos, Alessandro Goedtel, Sérgio Augusto Oliveira da Silva, Marcelo Suetake
      Pages 101-108

    14. Opportunistic Sensor Interpretation in a Virtual Smart Environment

      • José M. Fernández-de-Alba, Pablo Campillo, Rubén Fuentes-Fernández, Juan Pavón
      Pages 109-116

    15. Comparison of PCA and ANOVA for Information Selection of CC and MLO Views in Classification of Mammograms

      • Ricardo de Souza Jacomini, Marcelo Zanchetta do Nascimento, Rogério Daniel Dantas, Rodrigo Pereira Ramos
      Pages 117-126

    16. A Multiobjective Analysis of Adaptive Clustering Algorithms for the Definition of RBF Neural Network Centers in Regression Problems

      • Rosana Veroneze, André R. Gonçalves, Fernando J. Von Zuben
      Pages 127-134

    17. Mean Multiclass Type I and II Errors for Training Multilayer Perceptron with Particle Swarm in Image Segmentation

      • Michel M. dos Santos, Mêuser J. S. Valença, Wellington P. dos Santos
      Pages 135-142

    18. An Improved ABC Algorithm Approach Using SURF for Face Identification

      • Chidambaram Chidambaram, Marlon Subtil Marçal, Leyza Baldo Dorini, Hugo Vieira Neto, Heitor Silvério Lopes
      Pages 143-150

    19. A Model Based on Genetic Algorithm for Investigation of the Behavior of Rats in the Elevated Plus-Maze

      • Ariadne A. Costa, Antonio C. Roque, Silvio Morato, Renato Tinós
      Pages 151-158
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Other volumes

  1. Intelligent Data Engineering and Automated Learning - IDEAL 2012

Editors and Affiliations

  • School of Electrical and Electronic Engineering, The University of Manchester, Manchester, UK

    Hujun Yin

  • Department of Electrical Engineering, Federal University of Rio Grande do Norte, Natal, Brazil

    José A. F. Costa

  • Department of Teleinformatics Engineering, Federal University of Ceará, Fortaleza, Brazil

    Guilherme Barreto

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