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Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications

24th Iberoamerican Congress, CIARP 2019, Havana, Cuba, October 28-31, 2019, Proceedings

  • Ingela Nyström
  • Yanio Hernández Heredia
  • Vladimir Milián Núñez
Conference proceedings CIARP 2019

Part of the Lecture Notes in Computer Science book series (LNCS, volume 11896)

Also part of the Image Processing, Computer Vision, Pattern Recognition, and Graphics book sub series (LNIP, volume 11896)

Table of contents

  1. Front Matter
    Pages i-xx
    PDF

  2. Keynote Lecture

    1. Front Matter
      Pages 1-1
      PDF
    2. Incremental Learning of People Identities
      Federico Bartoli, Federico Pernici, Matteo Bruni, Alberto Del Bimbo
      Pages 3-15
    3. Case-Based Reasoning – Methods, Techniques, and Applications
      Petra Perner
      Pages 16-30
    4. Foveated Vision for Deepface Recognition
      Souad Khellat-Kihel, Andrea Lagorio, Massimo Tistarelli
      Pages 31-41
    5. Representation Learning for Underdefined Tasks
      Jean-François Bonastre
      Pages 42-47

  3. Data Mining. Natural Language Processing and Text Mining

    1. Front Matter
      Pages 49-49
      PDF
    2. Applying Self-attention for Stance Classification
      Margarita Bugueño, Marcelo Mendoza
      Pages 51-61
    3. Applying OWA Operator in the Semantic Processing for Automatic Keyphrase Extraction
      Manuel Barreiro-Guerrero, Alfredo Simón-Cuevas, Yamel Pérez-Guadarrama, Francisco P. Romero, José A. Olivas
      Pages 62-71
    4. Brazilian Presidential Elections in the Era of Misinformation: A Machine Learning Approach to Analyse Fake News
      Jairo L. Alves, Leila Weitzel, Paulo Quaresma, Carlos E. Cardoso, Luan Cunha
      Pages 72-84
    5. Improved Document Filtering by Multilevel Term Relations
      Adrian Fonseca Bruzón, Aurelio López-López, José E. Medina Pagola
      Pages 85-95
    6. TSTM: A Model to Predict Topics’ Popularity in News Providers
      Mario Alfonso Prado-Romero, Alessandro Celi, Giovanni Stilo, Alex Coto-Santiesteban
      Pages 96-106
    7. Meta-learning of Text Classification Tasks
      Jorge G. Madrid, Hugo Jair Escalante
      Pages 107-119
    8. Portuguese POS Tagging Using BLSTM Without Handcrafted Features
      Rômulo César Costa de Sousa, Hélio Lopes
      Pages 120-130
    9. A Binary Variational Autoencoder for Hashing
      Francisco Mena, Ricardo Ñanculef
      Pages 131-141
    10. Prototypes Generation from Multi-label Datasets Based on Granular Computing
      Marilyn Bello, Gonzalo Nápoles, Koen Vanhoof, Rafael Bello
      Pages 142-151
    11. A Simple Proposal for Sentiment Analysis on Movies Reviews with Hidden Markov Models
      Billy Peralta, Victor Tirapegui, Christian Pieringer, Luis Caro
      Pages 152-162
    12. Optimizing Natural Language Processing Pipelines: Opinion Mining Case Study
      Suilan Estevez-Velarde, Yoan Gutiérrez, Andrés Montoyo, Yudivián Almeida-Cruz
      Pages 163-173
    13. Predicting Customer Profitability Dynamically over Time: An Experimental Comparative Study
      Daqing Chen, Kun Guo, Bo Li
      Pages 174-183

  4. Image Analysis and Retrieval

    1. Front Matter
      Pages 185-185
      PDF
    2. Face Spoofing Detection on Low-Power Devices Using Embeddings with Spatial and Frequency-Based Descriptors
      Rafael Henrique Vareto, Matheus A. Diniz, William Robson Schwartz
      Pages 187-197
    3. Video Iris Recognition Based on Iris Image Quality Evaluation and Semantic Classification
      Eduardo Garea-Llano, Annette Morales-González, Dailé Osorio-Roig
      Pages 198-208
    4. YOLO-FD: YOLO for Face Detection
      Luan P. e Silva, Júlio C. Batista, Olga R. P. Bellon, Luciano Silva
      Pages 209-218
    5. On Using Document Scanners for Minutiae-Based Palmprint Recognition
      Manuel Aguado-Martínez, José Hernández-Palancar, Katy Castillo-Rosado, Christof Kauba, Simon Kirchgasser, Andreas Uhl
      Pages 219-229
    6. Stacking Fingerprint Matching Algorithms for Latent Fingerprint Identification
      Danilo Valdes-Ramirez, Miguel Angel Medina-Pérez, Raúl Monroy
      Pages 230-240
    7. Detecting Steading Conversational Groups on an Still Image: A Single Relational Fuzzy Approach
      Elvis Ferrera-Cedeño, Niusvel Acosta-Mendoza, Andrés Gago-Alonso
      Pages 241-250
    8. Multi-task Learning for Low-Resolution License Plate Recognition
      Gabriel Resende Gonçalves, Matheus Alves Diniz, Rayson Laroca, David Menotti, William Robson Schwartz
      Pages 251-261
    9. Colour Feature Extraction and Polynomial Algorithm for Classification of Lymphoma Images
      Alessandro S. Martins, Leandro A. Neves, Paulo R. Faria, Thaína A. A. Tosta, Daniel O. T. Bruno, Leonardo C. Longo et al.
      Pages 262-271
    10. Deep Generic Features for Tattoo Identification
      Miguel Nicolás-Díaz, Annette Morales-González, Heydi Méndez-Vázquez
      Pages 272-282
    11. Analysis of the Impact of Ear Alignment on Unconstrained Ear Recognition
      Elaine Grenot-Castellano, Yoanna Martínez-Díaz, Francisco José Silva-Mata
      Pages 283-293
    12. Breast Lesion Discrimination Using Saliency Features from MRI Sequences and MKL-Based Classification
      Henry Jhoán Areiza-Laverde, Carlos Andrés Duarte-Salazar, Liliana Hernández, Andrés Eduardo Castro-Ospina, Gloria M. Díaz
      Pages 294-305
    13. Role of EMG Rectification for Corticomuscular and Intermuscular Coherence Estimation of Spinocerebellar Ataxia Type 2 (SCA2)
      Y. Ruiz-Gonzalez, L. Velázquez-Pérez, R. Rodríguez-Labrada, R. Torres-Vega, U. Ziemann
      Pages 306-315
    14. Face Recognition on Mobile Devices Based on Frames Selection
      Nelson Méndez-Llanes, Katy Castillo-Rosado, Heydi Méndez-Vázquez, Souad Khellat-Kihel, Massimo Tistarelli
      Pages 316-325
    15. Brain Tumour Segmentation from Multispectral MR Image Data Using Ensemble Learning Methods
      Ágnes Győrfi, Levente Kovács, László Szilágyi
      Pages 326-335
    16. Computer Vision Approaches to Detect Bean Defects
      Peterson A. Belan, Robson A. G. de Macedo, Sidnei A. de Araújo
      Pages 336-345
    17. Automated Identification of Breast Cancer Using Digitized Mammogram Images
      Bryan Chachalo, Erik Solis, Eddy Andrade, Santiago Pozo, Robinson Guachi, Saravana Prakash Thirumuruganandham et al.
      Pages 346-356
    18. Sparse-Based Feature Selection for Discriminating Between Crops and Weeds Using Field Images
      Daniel Guillermo García-Murillo, Andrés M. Álvarez, David Cárdenas-Peña, William Hincapie-Restrepo, German Castellanos-Dominguez
      Pages 357-364
    19. Automated Nuclei Segmentation in Dysplastic Histopathological Oral Tissues Using Deep Neural Networks
      Adriano Barbosa Silva, Alessandro S. Martins, Leandro A. Neves, Paulo R. Faria, Thaína A. A. Tosta, Marcelo Zanchetta do Nascimento
      Pages 365-374
    20. A Study on Histogram Normalization for Brain Tumour Segmentation from Multispectral MR Image Data
      Ágnes Győrfi, Zoltán Karetka-Mezei, David Iclănzan, Levente Kovács, László Szilágyi
      Pages 375-384

  5. Machine Learning and Neural Networks

    1. Front Matter
      Pages 385-385
      PDF
    2. Probabilistic Forecasting Using Monte Carlo Dropout Neural Networks
      Cristián Serpell, Ignacio Araya, Carlos Valle, Héctor Allende
      Pages 387-397
    3. Hermite Convolutional Networks
      Leonardo Ledesma, Jimena Olveres, Boris Escalante-Ramírez
      Pages 398-407
    4. Analytical Solution for the Optimal Addition of an Item to a Composite of Scores for Maximum Reliability
      Carlos A. Ferrer, Idileisy Torres-Rodríguez, Alberto Taboada-Crispi, Elmar Nöth
      Pages 408-416
    5. A New Method to Evaluate Subgroup Discovery Algorithms
      Lisandra Bravo Ilisástigui, Diana Martín Rodríguez, Milton García-Borroto
      Pages 417-426

  6. Mathematical Theory of Pattern Recognition

    1. Front Matter
      Pages 427-427
      PDF
    2. KAdam: Using the Kalman Filter to Improve Adam algorithm
      José David Camacho, Carlos Villaseñor, Alma Y. Alanis, Carlos Lopez-Franco, Nancy Arana-Daniel
      Pages 429-438
    3. Evaluating Restrictions in Pattern Based Classifiers
      Andy González-Méndez, Diana Martín-Rodríguez, Milton García-Borroto
      Pages 439-448
    4. BRIEF-Based Mid-Level Representations for Time Series Classification
      Renato Souza, Raquel Almeida, Roberto Miranda, Zenilton Kleber G. do Patrocinio Jr., Simon Malinowski, Silvio Jamil F. Guimarães
      Pages 449-457
    5. Continuous Hyper-parameter Configuration for Particle Swarm Optimization via Auto-tuning
      Jairo Rojas-Delgado, Vladimir Milián Núñez, Rafael Trujillo-Rasúa, Rafael Bello
      Pages 458-468
    6. Feature Extraction of Long Non-coding RNAs: A Fourier and Numerical Mapping Approach
      Robson Parmezan Bonidia, Lucas Dias Hiera Sampaio, Fabrício Martins Lopes, Danilo Sipoli Sanches
      Pages 469-479

About these proceedings

Introduction

This book constitutes the refereed conference proceedings of the 24rd Iberoamerican Congress on Pattern Recognition, CIARP 2019, held in Havana, Cuba, in October 2019.

The 70 papers presented were carefully reviewed and selected from 128 submissions. 
The papers are organized in topical sections named: Data Mining: Natural Language Processing and Text Mining; Image Analysis and Retrieval; Machine Learning and Neural Networks; Mathematical Theory of Pattern Recognition; Pattern Recognition and Applications; Signals Analysis and Processing; Speech Recognition; Video Analysis.

Keywords

artificial intelligence biometrics classification computational linguistics computer vision data mining descriptors estimation face recognition facial images image coding image processing image segmentation learning algorithms machine learning neural networks pattern recognition semantics signal processing Support Vector Machines (SVM)

Editors and affiliations

  1. 1.Uppsala UniversityUppsalaSweden
  2. 2.University of Information ScienceHavanaCuba
  3. 3.University of Information ScienceHavanaCuba

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-030-33904-3
  • Copyright Information Springer Nature Switzerland AG 2019
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-030-33903-6
  • Online ISBN 978-3-030-33904-3
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site