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Pattern Recognition

15th Mexican Conference, MCPR 2023, Tepic, Mexico, June 21–24, 2023, Proceedings

  • Conference proceedings
  • © 2023

Overview

Editors:
  1. Ansel Yoan Rodríguez-González

    1. Centro de Investigación Científica y de Educación Superior de Ensenada, Tepic, Mexico

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  2. Humberto Pérez-Espinosa

    1. Centro de Investigación Científica y de Educación Superior de Ensenada, Tepic, Mexico

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  3. José Francisco Martínez-Trinidad

    1. Instituto Nacional de Astrofísica, Óptica y Electrónica, Santa María Tonantzintla, Mexico

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  4. Jesús Ariel Carrasco-Ochoa

    1. Instituto Nacional de Astrofísica, Óptica y Electrónica, Santa María Tonantzintla, 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 13902)

Included in the following conference series:

Conference proceedings info: MCPR 2023.

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Table of contents (31 papers)

  1. Front Matter

    Pages i-xiv
    Download chapter PDF

  2. Pattern Recognition and Machine Learning Techniques

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. Feature Analysis and Selection for Water Stream Modeling

      • Carlos Moises Chavez-Jimenez, Luis Armando Salazar-Lopez, Kenneth Chapman, Troy Gilmore, Gildardo Sanchez-Ante
      Pages 3-12

    3. A Cloud-Based (AWS) Machine Learning Solution to Predict Account Receivables in a Financial Institution

      • Javier Rodríguez López, Luis Escamilla, Roberto López, Luis F. Gaxiola, Luis C. González
      Pages 13-22

    4. A New Approach for Road Type Classification Using Multi-stage Graph Embedding Method

      • Mohale E. Molefe, Jules R. Tapamo
      Pages 23-35

    5. Removing the Black-Box from Machine Learning

      • Angel Fernando Kuri-Morales
      Pages 36-46

    6. Using Machine Learning to Identify Patterns in Learner-Submitted Code for the Purpose of Assessment

      • Botond Tarcsay, Fernando Perez-Tellez, Jelena Vasic
      Pages 47-57

    7. Fitness Function Comparison for Unsupervised Feature Selection with Permutational-Based Differential Evolution

      • Jesús-Arnulfo Barradas-Palmeros, Efrén Mezura-Montes, Héctor-Gabriel Acosta-Mesa, Rafael Rivera-López
      Pages 58-68

    8. A Method for Counting Models on Cubic Boolean Formulas

      • Marco A. López-Medina, J. Raymundo Marcial-Romero, José A. Hernández, Sandra Morales-Hernández
      Pages 69-78

    9. Automatic Identification of Learning Styles Through Behavioral Patterns

      • María Guadalupe Pineda-Arizmendi, Ángel Hernández-Castañeda, René Arnulfo García-Hernández, Yulia Ledeneva, José Rafael Cruz Reyes
      Pages 79-88

    10. Comparison of Classifiers in Challenge Scheme

      • Sergio Nava-Muñoz, Mario Graff Guerrero, Hugo Jair Escalante
      Pages 89-98

  3. Deep Learning and Neural Networks

    1. Front Matter

      Pages 99-99
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    2. Robust Zero-Watermarking for Medical Images Based on Deep Learning Feature Extraction

      • Rodrigo Eduardo Arevalo-Ancona, Manuel Cedillo-Hernandez, Ana Elena Ramirez-Rodriguez, Mariko Nakano-Miyatake, Hector Perez-Meana
      Pages 101-113

    3. Plant Stress Recognition Using Deep Learning and 3D Reconstruction

      • German Ríos-Toledo, Madaín Pérez-Patricio, Luis Ángel Cundapí-López, J. L. Camas-Anzueto, N. A. Morales-Navarro, J. A. de Jesús Osuna-Coutiño
      Pages 114-124

    4. Segmentation and Classification Networks for Corn/Weed Detection Under Excessive Field Variabilities

      • Francisco Garibaldi-Márquez, Gerardo Flores, Luis M. Valentín-Coronado
      Pages 125-138

    5. Leukocyte Recognition Using a Modified AlexNet and Image to Image GAN Data Augmentation

      • Armando Reyes-Esparza, Mario I. Chacon-Murguia, Juan A. Ramirez-Quintana, Carlos Arzate-Quintana
      Pages 139-148

    6. Spoofing Detection for Speaker Verification with Glottal Flow and 1D Pure Convolutional Networks

      • Antonio Camarena-Ibarrola, Karina Figueroa, Axel Plancarte Curiel
      Pages 149-158

    7. Estimation of Stokes Parameters Using Deep Neural Networks

      • Joan Manuel Raygoza-Romero, Irvin Hussein Lopez-Nava, Julio Cesar Ramírez-Vélez
      Pages 159-168

    8. Experimental Study of the Performance of Convolutional Neural Networks Applied in Art Media Classification

      • J. M. Fortuna-Cervantes, C. Soubervielle-Montalvo, O. E. Perez-Cham, R. Peña-Gallardo, C. Puente
      Pages 169-178

  4. Medical Applications of Pattern Recognition

    1. Front Matter

      Pages 179-179
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Other volumes

  1. Pattern Recognition

Keywords

About this book

This book constitutes the refereed proceedings of the 15th Mexican Conference on Pattern Recognition, MCPR 2023, held in Tepic, Mexico, during June 21–24, 2023.

The 30 full papers presented in this book were carefully reviewed and selected from 61 submissions. The papers are divided into the following topical sections: pattern recognition and machine learning techniques; deep learning and neural networks; medical applications of pattern recognition; language processing and recognition; and industrial applications of pattern recognition.

Editors and Affiliations

  • Centro de Investigación Científica y de Educación Superior de Ensenada, Tepic, Mexico

    Ansel Yoan Rodríguez-González, Humberto Pérez-Espinosa

  • Instituto Nacional de Astrofísica, Óptica y Electrónica, Santa María Tonantzintla, Mexico

    José Francisco Martínez-Trinidad, Jesús Ariel Carrasco-Ochoa

  • Autonomous University of Puebla, Puebla, Mexico

    José Arturo Olvera-López

Bibliographic Information

  • Book Title: Pattern Recognition

  • Book Subtitle: 15th Mexican Conference, MCPR 2023, Tepic, Mexico, June 21–24, 2023, Proceedings

  • Editors: Ansel Yoan Rodríguez-González, Humberto Pérez-Espinosa, José Francisco Martínez-Trinidad, Jesús Ariel Carrasco-Ochoa, José Arturo Olvera-López

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/978-3-031-33783-3

  • 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 2023

  • Softcover ISBN: 978-3-031-33782-6Published: 20 May 2023

  • eBook ISBN: 978-3-031-33783-3Published: 08 June 2023

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: XIV, 328

  • Number of Illustrations: 46 b/w illustrations, 104 illustrations in colour

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

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