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Pattern Recognition

9th Mexican Conference, MCPR 2017, Huatulco, Mexico, June 21-24, 2017, Proceedings

  • Conference proceedings
  • © 2017

Overview

Editors:
  1. Jesús Ariel Carrasco-Ochoa

    1. National Institute of Astrophysics, Optics, and Electronics, Puebla, Mexico

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  2. José Francisco Martínez-Trinidad

    1. National Institute of Astrophysics, Optics and Electronics, Puebla, Mexico

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    You can also search for this editor in PubMed   Google Scholar

  3. José Arturo Olvera-López

    1. Autonomous University of Puebla , Puebla, Mexico

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    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 10267)

Part of the book sub series: Image Processing, Computer Vision, Pattern Recognition, and Graphics (LNIP)

Included in the following conference series:

Conference proceedings info: MCPR 2017.

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Table of contents (29 papers)

  1. Front Matter

    Pages I-XI
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  2. Pattern Recognition and Artificial Intelligence Techniques

    1. Front Matter

      Pages 1-1
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    2. An Algorithm for Computing Goldman Fuzzy Reducts

      • J. Ariel Carrasco-Ochoa, Manuel S. Lazo-Cortés, José Fco. Martínez-Trinidad
      Pages 3-12

    3. A Parallel Genetic Algorithm for Pattern Recognition in Mixed Databases

      • Angel Kuri-Morales, Javier Sagastuy-Breña
      Pages 13-21

    4. Extending Extremal Polygonal Arrays for the Merrifield-Simmons Index

      • Guillermo De Ita Luna, J. Raymundo Marcial-Romero, J. A. Hernández, Rosa Maria Valdovinos, Marcelo Romero
      Pages 22-31

    5. Comparing Deep and Dendrite Neural Networks: A Case Study

      • Gerardo Hernández, Erik Zamora, Humberto Sossa
      Pages 32-41

    6. A Novel Contrast Pattern Selection Method for Class Imbalance Problems

      • Octavio Loyola-González, José Fco. Martínez-Trinidad, Jesús Ariel Carrasco-Ochoa, Milton García-Borroto
      Pages 42-52

    7. Efficient Pattern Recognition Using the Frequency Response of a Spiking Neuron

      • Sergio Valadez-Godínez, Javier González, Humberto Sossa
      Pages 53-62

    8. Evolutionary Clustering Using Multi-prototype Representation and Connectivity Criterion

      • Adán José-García, Wilfrido Gómez-Flores
      Pages 63-73

    9. Fixed Height Queries Tree Permutation Index for Proximity Searching

      • Karina Figueroa, Rodrigo Paredes, J. Antonio Camarena-Ibarrola, Nora Reyes
      Pages 74-83

    10. A Projection Method for Optimization Problems on the Stiefel Manifold

      • Oscar Dalmau-Cedeño, Harry Oviedo
      Pages 84-93

    11. An Alternating Genetic Algorithm for Selecting SVM Model and Training Set

      • Michal Kawulok, Jakub Nalepa, Wojciech Dudzik
      Pages 94-104

    12. An Exploration Strategy for RL with Considerations of Budget and Risk

      • Jonathan Serrano Cuevas, Eduardo Morales Manzanares
      Pages 105-116

    13. Modeling Dependencies in Supervised Classification

      • Rogelio Salinas-Gutiérrez, Angélica Hernández-Quintero, Oscar Dalmau-Cedeño, Ángela Paulina Pérez-Díaz
      Pages 117-126

    14. Fast-BR vs. Fast-CT_EXT: An Empirical Performance Study

      • Vladímir Rodríguez-Diez, José Fco. Martínez-Trinidad, J. Ariel Carrasco-Ochoa, Manuel S. Lazo-Cortés
      Pages 127-136

    15. Assessing Deep Learning Architectures for Visualizing Maya Hieroglyphs

      • Edgar Roman-Rangel, Stephane Marchand-Maillet
      Pages 137-146

  3. Image Processing and Analysis

    1. Front Matter

      Pages 147-147
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    2. Image Noise Filter Based on DCT and Fast Clustering

      • Miguel de Jesús Martínez Felipe, Edgardo M. Felipe Riveron, Pablo Manrique Ramirez, Oleksiy Pogrebnyak
      Pages 149-158

    3. Color-Texture Image Analysis for Automatic Failure Detection in Tiles

      • Miyuki-Teri Villalon-Hernandez, Dora-Luz Almanza-Ojeda, Mario-Alberto Ibarra-Manzano
      Pages 159-168

    4. ROIs Segmentation in Facial Images Based on Morphology and Density Concepts

      • Jesús García-Ramírez, J. Arturo Olvera-López, Ivan Olmos-Pineda, Manuel Martín-Ortíz
      Pages 169-178
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  1. Pattern Recognition

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About this book

This book constitutes the refereed proceedings of the 9th Mexican Conference on Pattern Recognition, MCPR 2017, held in Huatulco, Mexico, in June 2017.

The 29 revised full papers presented were carefully reviewed and selected from 55 submissions. The papers are organized in topical sections on pattern recognition and artificial intelligence techniques, image processing and analysis, robotics and remote sensing, natural language processing and recognition, applications of pattern recognition.

Editors and Affiliations

  • National Institute of Astrophysics, Optics, and Electronics, Puebla, Mexico

    Jesús Ariel Carrasco-Ochoa

  • National Institute of Astrophysics, Optics and Electronics, Puebla, Mexico

    José Francisco Martínez-Trinidad

  • Autonomous University of Puebla , Puebla, Mexico

    José Arturo Olvera-López

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