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

1. Supervised and Unsupervised Classification

   1. CICE-BCubed: A New Evaluation Measure for Overlapping Clustering Algorithms

      • Henry Rosales-Méndez, Yunior Ramírez-Cruz

      Pages 157-164

   2. Supervised Classification Using Homogeneous Logical Proportions for Binary and Nominal Features

      • Ronei M. Moraes, Liliane S. Machado, Henri Prade, Gilles Richard

      Pages 165-173

   3. Multimodal Bone Cancer Detection Using Fuzzy Classification and Variational Model

      • Sami Bourouis, Ines Chennoufi, Kamel Hamrouni

      Pages 174-181

   4. Extreme Learning Classifier with Deep Concepts

      • Bernardete Ribeiro, Noel Lopes

      Pages 182-189

   5. Automatic Graph Building Approach for Spectral Clustering

      • Andrés Eduardo Castro-Ospina, Andrés Marino Álvarez-Meza, César Germán Castellanos-Domínguez

      Pages 190-197

   6. Qualitative Transfer for Reinforcement Learning with Continuous State and Action Spaces

      • Esteban O. Garcia, Enrique Munoz de Cote, Eduardo F. Morales

      Pages 198-205

   7. New Penalty Scheme for Optimal Subsequence Bijection

      • Laura Alejandra Pinilla-Buitrago, José Francisco Martínez-Trinidad, Jesús Ariel Carrasco-Ochoa

      Pages 206-213

   8. Missing Values in Dissimilarity-Based Classification of Multi-way Data

      • Diana Porro-Muñoz, Robert P. W. Duin, Isneri Talavera

      Pages 214-221

   9. A New Distance for Data Sets in a Reproducing Kernel Hilbert Space Context

      • Alberto Muñoz, Gabriel Martos, Javier González

      Pages 222-229

   10. Bi-clustering via MDL-Based Matrix Factorization

       • Ignacio Ramírez, Mariano Tepper

       Pages 230-237

   11. Kernel Spectral Clustering for Dynamic Data

       • Diego Hernán Peluffo-Ordóñez, Sergio García-Vega, Andrés Marino Álvarez-Meza, César Germán Castellanos-Domínguez

       Pages 238-245

2. Feature or Instance Selection for Classification

   1. Feature Space Reduction for Graph-Based Image Classification

      • Niusvel Acosta-Mendoza, Andrés Gago-Alonso, Jesús Ariel Carrasco-Ochoa, José Francisco Martínez-Trinidad, José E. Medina-Pagola

      Pages 246-253

   2. Mixed Data Balancing through Compact Sets Based Instance Selection

      • Yenny Villuendas-Rey, María Matilde García-Lorenzo

      Pages 254-261

   3. An Empirical Study of Oversampling and Undersampling for Instance Selection Methods on Imbalance Datasets

      • Julio Hernandez, Jesús Ariel Carrasco-Ochoa, José Francisco Martínez-Trinidad

      Pages 262-269

   4. Learning Stability Features on Sigmoid Fuzzy Cognitive Maps through a Swarm Intelligence Approach

      • Gonzalo Nápoles, Rafael Bello, Koen Vanhoof

      Pages 270-277

   5. A Feature Set Decomposition Method for the Construction of Multi-classifier Systems Trained with High-Dimensional Data

      • Yoisel Campos, Roberto Estrada, Carlos Morell, Francesc J. Ferri

      Pages 278-285

   6. On Stopping Rules in Dependency-Aware Feature Ranking

      • Petr Somol, Jiří Grim, Jiří Filip, Pavel Pudil

      Pages 286-293

   7. Towards Cluster-Based Prototype Sets for Classification in the Dissimilarity Space

      • Yenisel Plasencia-Calaña, Mauricio Orozco-Alzate, Edel García-Reyes, Robert P. W. Duin

      Pages 294-301

   8. Easy Categorization of Attributes in Decision Tables Based on Basic Binary Discernibility Matrix

      • Manuel S. Lazo-Cortés, José Francisco Martínez-Trinidad, Jesús Ariel Carrasco-Ochoa, Guillermo Sánchez-Díaz

      Pages 302-310

   9. Comparing Quality Measures for Contrast Pattern Classifiers

      • Milton García-Borroto, Octavio Loyola-Gonzalez, José Francisco Martínez-Trinidad, Jesús Ariel Carrasco-Ochoa

      Pages 311-318

The two-volume set LNCS 8258 and 8259 constitutes the refereed proceedings of the 18th Iberoamerican Congress on Pattern Recognition, CIARP 2013, held in Havana, Cuba, in November 2013.
The 137 papers presented, together with two keynotes, were carefully reviewed and selected from 262 submissions. The papers are organized in topical sections on mathematical theory of PR, supervised and unsupervised classification, feature or instance selection for classification, image analysis and retrieval, signals analysis and processing, applications of pattern recognition, biometrics, video analysis, and data mining.

• evolutionary computation
• genetic programming
• multimodality
• neural networks
• reinforcement learning
• algorithm analysis and problem complexity

• Advanced Technologies Application Center (CENATAV), La Habana, Cuba

  José Ruiz-Shulcloper

• National Research Council (CNR), Institute of Cybernetics “E. Caianiello”, Pozzuoli, Italy

  Gabriella Sanniti di Baja

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