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

1. Front Matter

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2. Keynote

   1. Pattern Recognition Systems under Attack

      • Fabio Roli, Battista Biggio, Giorgio Fumera

      Pages 1-8

3. Mathematical Theory of PR

   1. Genetic Programming of Heterogeneous Ensembles for Classification

      • Hugo Jair Escalante, Niusvel Acosta-Mendoza, Alicia Morales-Reyes, Andrés Gago-Alonso

      Pages 9-16

   2. Deletion Rules for Equivalent Sequential and Parallel Reductions

      • Kálmán Palágyi

      Pages 17-24

   3. Decomposing and Sketching 3D Objects by Curve Skeleton Processing

      • Luca Serino, Carlo Arcelli, Gabriella Sanniti di Baja

      Pages 25-32

   4. Analysis of Dynamic Processes by Statistical Moments of High Orders

      • Stanislava Šimberová, Tomáš Suk

      Pages 33-40

   5. Distance Transform Separable by Mathematical Morphology in GPU

      • Francisco de Assis Zampirolli, Leonardo Filipe

      Pages 41-48

   6. Estimation of Single-Gaussian and Gaussian Mixture Models for Pattern Recognition

      • Jan Vaněk, Lukáš Machlica, Josef Psutka

      Pages 49-56

   7. Set Distance Functions for 3D Object Recognition

      • Luís A. Alexandre

      Pages 57-64

   8. Single-Step-Ahead and Multi-Step-Ahead Prediction with Evolutionary Artificial Neural Networks

      • Víctor Manuel Landassuri-Moreno, Carmen L. Bustillo-Hernández, José Juan Carbajal-Hernández, Luis P. Sánchez Fernández

      Pages 65-72

   9. Conformal Hough Transform for 2D and 3D Cloud Points

      • Gehová López-González, Nancy Arana-Daniel, Eduardo Bayro-Corrochano

      Pages 73-83

   10. Sieve Bootstrap Prediction Intervals for Contaminated Non-linear Processes

       • Gustavo Ulloa, Héctor Allende-Cid, Héctor Allende

       Pages 84-91

   11. A Genetic Algorithm-Evolved 3D Point Cloud Descriptor

       • Dominik Węgrzyn, Luís A. Alexandre

       Pages 92-99

   12. Reconstruction and Enumeration of hv-Convex Polyominoes with Given Horizontal Projection

       • Norbert Hantos, Péter Balázs

       Pages 100-107

4. Supervised and Unsupervised Classification

   1. A Constraint Acquisition Method for Data Clustering

      • João M. M. Duarte, Ana L. N. Fred, Fernando Jorge F. Duarte

      Pages 108-116

   2. Auto-encoder Based Data Clustering

      • Chunfeng Song, Feng Liu, Yongzhen Huang, Liang Wang, Tieniu Tan

      Pages 117-124

   3. On the Generalization of the Mahalanobis Distance

      • Gabriel Martos, Alberto Muñoz, Javier González

      Pages 125-132

   4. Encoding Classes of Unaligned Objects Using Structural Similarity Cross-Covariance Tensors

      • Marco San Biagio, Samuele Martelli, Marco Crocco, Marco Cristani, Vittorio Murino

      Pages 133-140

   5. Dynamic K: A Novel Satisfaction Mechanism for CAR-Based Classifiers

      • Raudel Hernández-León

      Pages 141-148

   6. Weighted Naïve Bayes Classifiers by Renyi Entropy

      • Tomomi Endo, Mineichi Kudo

      Pages 149-156

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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