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Pattern Recognition

14th Mexican Conference, MCPR 2022, Ciudad Juárez, Mexico, June 22–25, 2022, Proceedings

  • Conference proceedings
  • © 2022

Overview

Editors:
  1. Osslan Osiris Vergara-Villegas

    1. Universidad Autónoma de Ciudad Juárez, Ciudad Juárez, Mexico

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  2. Vianey Guadalupe Cruz-Sánchez

    1. Universidad Autónoma de Ciudad Juárez, Ciudad Juárez, Mexico

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  3. Juan Humberto Sossa-Azuela

    1. Instituto Politécnico Nacional, Mexico City, 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 Francisco Martínez-Trinidad

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

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  6. 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 13264)

Included in the following conference series:

Conference proceedings info: MCPR 2022.

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Table of contents (33 papers)

  1. Front Matter

    Pages i-xiv
    Download chapter PDF

  2. Pattern Recognition Techniques

    1. Front Matter

      Pages 1-1
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    2. Hot Spots & Hot Regions Detection Using Classification Algorithms in BMPs Complexes at the Protein-Protein Interface with the Ground-State Energy Feature

      • O. Chaparro-Amaro, M. Martínez-Felipe, J. Martínez-Castro
      Pages 3-14

    3. Clustering of Twitter Networks Based on Users’ Structural Profile

      • Marisol Flores-Garrido, Luis Miguel García-Velázquez, Rodrigo Sebastian Cortez-Madrigal
      Pages 15-24

    4. Lane Changing Model from NGSIM Dataset

      • Erik Martínez-Vera, Pedro Bañuelos-Sánchez, Gibran Etcheverry
      Pages 25-34

    5. A Robust Fault Diagnosis Method in Presence of Noise and Missing Information for Industrial Plants

      • Francisco Javier Ortiz Ortiz, Adrián Rodríguez-Ramos, Orestes Llanes-Santiago
      Pages 35-45

    6. A Preliminary Study of SMOTE on Imbalanced Big Datasets When Dealing with Sparse and Dense High Dimensionality

      • A. Bolívar, V. García, R. Florencia, R. Alejo, G. Rivera, J. Patricia Sánchez-Solís
      Pages 46-55

    7. A Novel Survival Analysis-Based Approach for Predicting Behavioral Probability of Default

      • Cuauhtémoc Daniel Suárez-Ramírez, Juan-Carlos Martínez, Octavio Loyola-González
      Pages 56-69

    8. Mining Mixed Data Bases Using Machine Learning Algorithms

      • Angel Kuri-Morales
      Pages 70-80

  3. Neural Networks and Deep Learning

    1. Front Matter

      Pages 81-81
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    2. A CNN-Based Driver’s Drowsiness and Distraction Detection System

      • Jonathan Flores-Monroy, Mariko Nakano-Miyatake, Hector Perez-Meana, Enrique Escamilla-Hernandez, Gabriel Sanchez-Perez
      Pages 83-93

    3. 3D Convolutional Neural Network to Enhance Small-Animal Positron Emission Tomography Images in the Sinogram Domain

      • Leandro José Rodríguez Hernández, Humberto de Jesús Ochoa Domínguez, Osslan Osiris Vergara Villegas, Vianey Guadalupe Cruz Sánchez, Juan Humberto Sossa Azuela, Javier Polanco González
      Pages 94-104

    4. Learning Dendrite Morphological Neurons Using Linkage Trees for Pattern Classification

      • Samuel Omar Tovias-Alanis, Wilfrido Gómez-Flores, Gregorio Toscano-Pulido, Juan Humberto Sossa-Azuela
      Pages 105-115

    5. Deep Variational Method with Attention for High-Definition Face Generation

      • Esteban Reyes-Saldana, Mariano Rivera
      Pages 116-126

    6. Indoor Air Pollution Forecasting Using Deep Neural Networks

      • Jorge Altamirano-Astorga, Ita-Andehui Santiago-Castillejos, Luz Hernández-Martínez, Edgar Roman-Rangel
      Pages 127-136

    7. Extreme Machine Learning Architectures Based on Correlation

      • Hubert Cecotti
      Pages 137-146

  4. Image and Signal Processing and Analysis

    1. Front Matter

      Pages 147-147
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    2. Evaluating New Set of Acoustical Features for Cry Signal Classification

      • Sergio Daniel Cano-Ortiz, Yadisbel Martinez-Canete, Liette Veranes-Vicet
      Pages 149-158

    3. Motor Imagery Classification Using Riemannian Geometry in Multiple Frequency Bands with a Weighted Nearest Neighbors Approach

      • Girish Tiwale, Hubert Cecotti
      Pages 159-168

    4. Virtualizing 3D Real Environments Using 2D Pictures Based on Photogrammetry

      • Rafael Mercado Herrera, Vianney Muñoz Jiménez, Marco Antonio Ramos Corchado, Félix Francisco Ramos Corchado, José Raymundo Marcial Romero
      Pages 169-180
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  1. Pattern Recognition

Keywords

About this book

This book constitutes the proceedings of the 14th Mexican Conference on Pattern Recognition, MCPR 2022, which was held in planned to be held Ciudad Juárez, Mexico, in June 2022.
The 33 papers presented in this volume were carefully reviewed and selected from 66 submissions. They are organized in the following topical sections: pattern recognition techniques; neural networks and deep learning; image and signal processing and analysis; natural language processing and recognition; robotics and remote sensing applications of pattern recognition; medical applications of pattern recognition.

Editors and Affiliations

  • Universidad Autónoma de Ciudad Juárez, Ciudad Juárez, Mexico

    Osslan Osiris Vergara-Villegas, Vianey Guadalupe Cruz-Sánchez

  • Instituto Politécnico Nacional, Mexico City, Mexico

    Juan Humberto Sossa-Azuela

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

    Jesús Ariel Carrasco-Ochoa, José Francisco Martínez-Trinidad

  • Autonomous University of Puebla, Puebla, Mexico

    José Arturo Olvera-López

Bibliographic Information

  • Book Title: Pattern Recognition

  • Book Subtitle: 14th Mexican Conference, MCPR 2022, Ciudad Juárez, Mexico, June 22–25, 2022, Proceedings

  • Editors: Osslan Osiris Vergara-Villegas, Vianey Guadalupe Cruz-Sánchez, Juan Humberto Sossa-Azuela, Jesús Ariel Carrasco-Ochoa, José Francisco Martínez-Trinidad, José Arturo Olvera-López

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/978-3-031-07750-0

  • Publisher: Springer Cham

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

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022

  • Softcover ISBN: 978-3-031-07749-4Published: 11 June 2022

  • eBook ISBN: 978-3-031-07750-0Published: 10 June 2022

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: XIV, 372

  • Number of Illustrations: 37 b/w illustrations, 114 illustrations in colour

  • Topics: Pattern Recognition, Artificial Intelligence, Information Systems and Communication Service, Computer Systems Organization and Communication Networks

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