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

23rd Iberoamerican Congress, CIARP 2018, Madrid, Spain, November 19-22, 2018, Proceedings

  • Conference proceedings
  • © 2019

Overview

Editors:
  1. Ruben Vera-Rodriguez

    1. Biometrics and Data Pattern Analytics Lab, Universidad Autonoma de Madrid, Madrid, Spain

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  2. Julian Fierrez

    1. Biometrics and Data Pattern Analytics Lab, Universidad Autonoma de Madrid, Madrid, Spain

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    You can also search for this editor in PubMed   Google Scholar

  3. Aythami Morales

    1. Biometrics and Data Pattern Analytics Lab, Universidad Autonoma de Madrid, Madrid, Spain

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 11401)

Part of the book sub series: Image Processing, Computer Vision, Pattern Recognition, and Graphics (LNIP)

Included in the following conference series:

Conference proceedings info: CIARP 2018.

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About this book

This book constitutes the refereed post-conference proceedings of the 23rd Iberoamerican Congress on Pattern Recognition, CIARP 2018, held in Madrid, Spain, in November 2018

The 112 papers presented were carefully reviewed and selected from 187 submissions

 The program was comprised of 6 oral sessions on the following topics:  machine learning, computer vision, classification, biometrics and medical applications, and brain signals, and also on: text and character analysis, human interaction, and sentiment analysis


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Keywords

Table of contents (113 papers)

  1. Front Matter

    Pages I-XXIII
    Download chapter PDF

  2. Machine Learning

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. Large Scale Learning Techniques for Least Squares Support Vector Machines

      • Santiago Toledo-Cortés, Ivan Y. Castellanos-Martinez, Fabio A. Gonzalez
      Pages 3-11

    3. An Automatic Approximate Bayesian Computation Approach Using Metric Learning

      • W. González-Vanegas, A. Álvarez-Meza, A. Orozco-Gutiérrez
      Pages 12-19

    4. Generative Models for Deep Learning with Very Scarce Data

      • Juan Maroñas, Roberto Paredes, Daniel Ramos
      Pages 20-28

    5. Data Augmentation via Variational Auto-Encoders

      • Unai Garay-Maestre, Antonio-Javier Gallego, Jorge Calvo-Zaragoza
      Pages 29-37

    6. LSTM-Based Multi-scale Model for Wind Speed Forecasting

      • Ignacio A. Araya, Carlos Valle, Héctor Allende
      Pages 38-45

    7. Using Deep Learning to Classify Class Imbalanced Gene-Expression Microarrays Datasets

      • A. Reyes-Nava, H. Cruz-Reyes, R. Alejo, E. Rendón-Lara, A. A. Flores-Fuentes, E. E. Granda-Gutiérrez
      Pages 46-54

    8. A Data Representation Approach to Support Imbalanced Data Classification Based on TWSVM

      • C. Jimenez, A. M. Alvarez, A. Orozco
      Pages 55-63

    9. Improving Regression Models by Dissimilarity Representation of Bio-chemical Data

      • Francisco Jose Silva-Mata, Catherine Jiménez, Gabriela Barcas, David Estevez-Bresó, Niusvel Acosta-Mendoza, Andres Gago-Alonso et al.
      Pages 64-71

    10. A Comparative Study on Unsupervised Domain Adaptation for Coffee Crop Mapping

      • Edemir Ferreira, Hugo Oliveira, Mário Sérgio Alvim, Jefersson Alex dos Santos
      Pages 72-80

    11. Analytical Comparison of Histogram Distance Measures

      • Manuel G. Forero, Carlos Arias-Rubio, Brigete Tatiana González
      Pages 81-90

    12. Gaussian Processes Regression with Multiple Annotators: When the Annotator Performance Is Not Homogeneous

      • Julián Gil González, Andrés Marino Álvarez, Álvaro Angel Orozco
      Pages 91-99

    13. Linear Projection Learned from Hybrid CKA for Enhancing Distance-Based Classifiers

      • Diego Collazos-Huertas, David Cárdenas-Peña, German Castellanos-Dominguez
      Pages 100-108

    14. Evaluation of Bag-of-Word Performance for Time Series Classification Using Discriminative SIFT-Based Mid-Level Representations

      • Raquel Almeida, Hugo Herlanin, Zenilton Kleber G. do Patrocinio Jr., Simon Malinowski, Silvio Jamil Ferzoli Guimarães
      Pages 109-116

    15. Color Classification Methods for Perennial Weed Detection in Cereal Crops

      • Manuel G. Forero, Sergio Herrera-Rivera, Julián Ávila-Navarro, Camilo Andres Franco, Jesper Rasmussen, Jon Nielsen
      Pages 117-123

    16. Hierarchical Graph-Based Segmentation in Detection of Object-Related Regions

      • Rafael Machado Ribeiro, Silvio Jamil Ferzoli Guimarães, Zenilton Kleber G. Patrocínio Jr.
      Pages 124-132

    17. Dealing with Heterogeneous Google Earth Images on Building Area Detection Task

      • Cassio Almeida, William Fernandes, Simone Barbosa, Hélio Lopes
      Pages 133-140

    18. Evaluation of Scale-Aware Realignments of Hierarchical Image Segmentation

      • Milena M. Adão, Silvio Jamil Ferzoli Guimarães, Zenilton K. G. Patrocínio Jr.
      Pages 141-149

    19. 3D SfM as a Measuring Technique for Human Body Transformation

      • Alessandro Marro, Stefan Wiesen, Max Langbein, Hans Hagen
      Pages 150-158
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Other volumes

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

Editors and Affiliations

  • Biometrics and Data Pattern Analytics Lab, Universidad Autonoma de Madrid, Madrid, Spain

    Ruben Vera-Rodriguez, Julian Fierrez, Aythami Morales

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