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Pattern Recognition

10th Mexican Conference, MCPR 2018, Puebla, Mexico, June 27-30, 2018, Proceedings

  • Conference proceedings
  • © 2018

Overview

Editors:
  1. José Francisco Martínez-Trinidad

    1. National Institute of Astrophysics, Optics and Electronics, Sta. Maria Tonantzintla, Mexico

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  2. Jesús Ariel Carrasco-Ochoa

    1. National Institute of Astrophysics, Optics and Electronics, Sta. Maria Tonantzintla, Mexico

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  3. José Arturo Olvera-López

    1. Autonomous University of Puebla, Puebla, Mexico

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  4. Sudeep Sarkar

    1. University of South Florida, Tampa, USA

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 10880)

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 2018.

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Table of contents (28 papers)

  1. Front Matter

    Pages I-XI
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  2. Pattern Recognition Principles

    1. Front Matter

      Pages 1-1
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    2. Patterns of Go Gaming by Ising Model

      • Arturo Yee, Matías Alvarado
      Pages 3-11

    3. A Novel Criterion to Obtain the Best Feature Subset from Filter Ranking Methods

      • Lauro Vargas-Ruíz, Anilu Franco-Arcega, María-de-los-Ángeles Alonso-Lavernia
      Pages 12-22

    4. Class-Specific Reducts vs. Classic Reducts in a Rule-Based Classifier: A Case Study

      • Manuel S. Lazo-Cortés, José Fco. Martínez-Trinidad, Jesús Ariel Carrasco-Ochoa
      Pages 23-30

    5. On the Construction of a Specific Algebra for Composing Tonal Counterpoint

      • Erick G. G. de Paz, Malaquías Quintero-Flores, Xavier Quiñones-Solís
      Pages 31-40

    6. The Impact of Basic Matrix Dimension on the Performance of Algorithms for Computing Typical Testors

      • Vladímir Rodríguez-Diez, José Fco. Martínez-Trinidad, Jesús Ariel Carrasco-Ochoa, Manuel S. Lazo-Cortés
      Pages 41-50

    7. Fast Convex Hull by a Geometric Approach

      • Alberto Beltrán-Herrera, Sonia Mendoza
      Pages 51-61

    8. An Experimental Study on Ant Colony Optimization Hyper-Heuristics for Solving the Knapsack Problem

      • Bronson Duhart, Fernando Camarena, José Carlos Ortiz-Bayliss, Ivan Amaya, Hugo Terashima-Marín
      Pages 62-71

    9. A Linear Time Algorithm for Computing #2SAT for Outerplanar 2-CNF Formulas

      • Marco A. López, J. Raymundo Marcial-Romero, Guillermo De Ita, Yolanda Moyao
      Pages 72-81

    10. Improving the List of Clustered Permutation on Metric Spaces for Similarity Searching on Secondary Memory

      • Karina Figueroa, Nora Reyes, Antonio Camarena-Ibarrola, L. Valero-Elizondo
      Pages 82-92

    11. Modelling 3-Coloring of Polygonal Trees via Incremental Satisfiability

      • Cristina López-Ramírez, Guillermo De Ita, Alfredo Neri
      Pages 93-102

  3. Deep Learning, Neural Networks and Associative Memories

    1. Front Matter

      Pages 103-103
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    2. Performance Analysis of Deep Neural Networks for Classification of Gene-Expression Microarrays

      • A. Reyes-Nava, J. S. Sánchez, R. Alejo, A. A. Flores-Fuentes, E. Rendón-Lara
      Pages 105-115

    3. Extreme Points of Convex Polytopes Derived from Lattice Autoassociative Memories

      • Gerhard X. Ritter, Gonzalo Urcid
      Pages 116-125

    4. A Comparison of Deep Neural Network Algorithms for Recognition of EEG Motor Imagery Signals

      • Luis G. Hernández, Javier M. Antelis
      Pages 126-134

    5. Learning Word and Sentence Embeddings Using a Generative Convolutional Network

      • Edgar Vargas-Ocampo, Edgar Roman-Rangel, Jorge Hermosillo-Valadez
      Pages 135-144

    6. Dense Captioning of Natural Scenes in Spanish

      • Alejandro Gomez-Garay, Bogdan Raducanu, Joaquín Salas
      Pages 145-154

    7. Automated Detection of Hummingbirds in Images: A Deep Learning Approach

      • Sergio A. Serrano, Ricardo Benítez-Jimenez, Laura Nuñez-Rosas, Ma del Coro Arizmendi, Harold Greeney, Veronica Reyes-Meza et al.
      Pages 155-166

  4. Data Mining

    1. Front Matter

      Pages 167-167
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Other volumes

  1. Pattern Recognition

Keywords

About this book

This book constitutes the proceedings of the 10th Mexican Conference on Pattern Recognition, MCPR 2018, held in Puebla, Mexico, in June 2018. 
The 28 papers presented in this volume were carefully reviewed and selected from 44 submissions. They were organized in topical sections named: pattern recognition principles; deep learning, neural networks and associative memories; data mining; and computer vision. 

Editors and Affiliations

  • National Institute of Astrophysics, Optics and Electronics, Sta. Maria Tonantzintla, Mexico

    José Francisco Martínez-Trinidad, Jesús Ariel Carrasco-Ochoa

  • Autonomous University of Puebla, Puebla, Mexico

    José Arturo Olvera-López

  • University of South Florida, Tampa, USA

    Sudeep Sarkar

Bibliographic Information

  • Book Title: Pattern Recognition

  • Book Subtitle: 10th Mexican Conference, MCPR 2018, Puebla, Mexico, June 27-30, 2018, Proceedings

  • Editors: José Francisco Martínez-Trinidad, Jesús Ariel Carrasco-Ochoa, José Arturo Olvera-López, Sudeep Sarkar

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/978-3-319-92198-3

  • Publisher: Springer Cham

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: Springer Nature Switzerland AG 2018

  • Softcover ISBN: 978-3-319-92197-6Published: 31 May 2018

  • eBook ISBN: 978-3-319-92198-3Published: 20 June 2018

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: XI, 288

  • Number of Illustrations: 113 b/w illustrations

  • Topics: Pattern Recognition, Artificial Intelligence, Image Processing and Computer Vision

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