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Pattern Recognition

13th Mexican Conference, MCPR 2021, Mexico City, Mexico, June 23–26, 2021, Proceedings

  • Conference proceedings
  • © 2021

Overview

Editors:
  1. Edgar Roman-Rangel

    1. Instituto Tecnológico Autónomo de México, Mexico City, Mexico

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  2. Ángel Fernando Kuri-Morales

    1. Instituto Tecnológico Autónomo de México, Mexico City, Mexico

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  3. José Francisco Martínez-Trinidad

    1. Instituto Nacional de Astrofísica, Óptica y Electrónica, Puebla, Mexico

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  4. Jesús Ariel Carrasco-Ochoa

    1. Instituto Nacional de Astrofísica, Óptica y Electrónica, Puebla, Mexico

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  5. José Arturo Olvera-López

    1. Autonomous University of Puebla, Puebla, Mexico

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 12725)

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 2021.

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Table of contents (35 papers)

  1. Front Matter

    Pages i-xiii
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  2. Artificial Intelligence Techniques and Recognition

    1. Front Matter

      Pages 1-1
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    2. A Straightforward Framework for Video Retrieval Using CLIP

      • Jesús Andrés Portillo-Quintero, José Carlos Ortiz-Bayliss, Hugo Terashima-Marín
      Pages 3-12

    3. Inferential Rules for Identifying Answers in TOEFL Texts

      • Meliza Contreras González, Mireya Tovar Vidal, G. De Ita
      Pages 13-22

    4. Automatic Detection of Injection Attacks by Machine Learning in NoSQL Databases

      • Heber I. Mejia-Cabrera, Daniel Paico-Chileno, Jhon H. Valdera-Contreras, Victor A. Tuesta-Monteza, Manuel G. Forero
      Pages 23-32

    5. Automatic Recognition of Learning-Centered Emotions

      • Yesenia N. González-Meneses, Josefina Guerrero-García, Carlos Alberto Reyes-García, Ramón Zatarain-Cabada
      Pages 33-43

  3. Pattern Recognition Techniques

    1. Front Matter

      Pages 45-45
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    2. Unsupervised Feature Selection Methodology for Analysis of Bacterial Taxonomy Profiles

      • Saúl Solorio-Fernández, J. A. Carrasco-Ochoa, José Fco. Martínez-Trinidad
      Pages 47-56

    3. A Comparative Study of Two Algorithms for Computing the Shortest Reducts: MiLIT and MinReduct

      • Vladímir Rodríguez-Diez, José Fco. Martínez-Trinidad, J. A. Carrasco-Ochoa, Manuel S. Lazo-Cortés, J. Arturo Olvera-López
      Pages 57-67

    4. Extremal Topologies for the Merrifield-Simmons Index on Dynamic Trees

      • P. Bello, M. Rodríguez, G. De Ita
      Pages 68-77

    5. Experimental Comparison of Oversampling Methods for Mixed Datasets

      • Fredy Rodríguez-Torres, J. A. Carrasco-Ochoa, José Fco. Martínez-Trinidad
      Pages 78-88

    6. Shortening the Candidate List for Similarity Searching Using Inverted Index

      • Karina Figueroa, Antonio Camarena-Ibarrola, Nora Reyes
      Pages 89-97

  4. Neural Networks and Deep Learning

    1. Front Matter

      Pages 99-99
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    2. Neuroevolution for Sentiment Analysis in Tweets Written in Mexican Spanish

      • José-Clemente Hernández-Hernández, Efrén Mezura-Montes, Guillermo-de-Jesús Hoyos-Rivera, Omar Rodríguez-López
      Pages 101-110

    3. Neovascularization Detection on Optic Disc Region Using Deep Learning

      • Cesar Carrillo-Gomez, Mariko Nakano, Ana Gonzalez-H.Leon, Juan Carlos Romo-Aguas, Hugo Quiroz-Mercado, Osvaldo Lopez-Garcia
      Pages 111-120

    4. Metric Localisation for the NAO Robot

      • Oswualdo Alquisiris-Quecha, Jose Martinez-Carranza
      Pages 121-130

    5. Multi-source Transfer Learning for Deep Reinforcement Learning

      • Jesús García-Ramírez, Eduardo Morales, Hugo Jair Escalante
      Pages 131-140

    6. Efficient Training of Deep Learning Models Through Improved Adaptive Sampling

      • Jorge Ivan Avalos-López, Alfonso Rojas-Domínguez, Manuel Ornelas-Rodríguez, Martín Carpio, S. Ivvan Valdez
      Pages 141-152

    7. Graph Representation for Learning the Traveling Salesman Problem

      • Omar Gutiérrez, Erik Zamora, Ricardo Menchaca
      Pages 153-162

    8. Satellite Imagery Classification Using Shallow and Deep Learning Approaches

      • Michelle Sainos-Vizuett, Irvin Hussein Lopez-Nava
      Pages 163-172
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  1. Pattern Recognition

Keywords

About this book

This book constitutes the proceedings of the 13th Mexican Conference on Pattern Recognition, MCPR 2021, which was planned to be held in Mexico City, Mexico, in June 2021. The conference was instead held virtually.

The 35 papers presented in this volume were carefully reviewed and selected from 75 submissions. They are organized in the following topical sections: artificial intelligence techniques and recognition; pattern recognition techniques; neural networks and deep learning; computer vision; image processing and analysis; and medical applications of pattern recognition.


Editors and Affiliations

  • Instituto Tecnológico Autónomo de México, Mexico City, Mexico

    Edgar Roman-Rangel, Ángel Fernando Kuri-Morales

  • Instituto Nacional de Astrofísica, Óptica y Electrónica, Puebla, Mexico

    José Francisco Martínez-Trinidad, Jesús Ariel Carrasco-Ochoa

  • Autonomous University of Puebla, Puebla, Mexico

    José Arturo Olvera-López

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