Advances in Computational Intelligence

1. Front Matter

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2. Video and Image Processing

   1. Lossy Image Compression Using a GHSOM

      • E. J. Palomo, E. Domínguez, R. M. Luque, J. Muñoz

      Pages 1-8

   2. Visual Features Extraction Based Egomotion Calculation from a Infrared Time-of-Flight Camera

      • Diego Viejo, Jose Garcia, Miguel Cazorla

      Pages 9-16

   3. Feature Weighting in Competitive Learning for Multiple Object Tracking in Video Sequences

      • R. M. Luque, J. M. Ortiz-de-Lazcano-Lobato, Ezequiel López-Rubio, E. Domínguez, E. J. Palomo

      Pages 17-24

   4. The Segmentation of Different Skin Colors Using the Combination of Graph Cuts and Probability Neural Network

      • Chih-Lyang Hwang, Kai-Di Lu

      Pages 25-33

   5. Reduction of JPEG Compression Artifacts by Kernel Regression and Probabilistic Self-Organizing Maps

      • María Nieves Florentín-Núñez, Ezequiel López-Rubio, Francisco Javier López-Rubio

      Pages 34-41

   6. An Unsupervised Method for Active Region Extraction in Sports Videos

      • Markos Mentzelopoulos, Alexandra Psarrou, Anastassia Angelopoulou

      Pages 42-49

   7. 6DoF Egomotion Computing Using 3D GNG-Based Reconstruction

      • Diego Viejo, Jose Garcia, Miguel Cazorla

      Pages 50-57

   8. Fast Image Representation with GPU-Based Growing Neural Gas

      • José García-Rodríguez, Anastassia Angelopoulou, Vicente Morell, Sergio Orts, Alexandra Psarrou, Juan Manuel García-Chamizo

      Pages 58-65

   9. Texture and Color Analysis for the Automatic Classification of the Eye Lipid Layer

      • L. Ramos, M. Penas, B. Remeseiro, A. Mosquera, N. Barreira, E. Yebra-Pimentel

      Pages 66-73

   10. Quantitative Study and Monitoring of the Growth of Lung Cancer Nodule Using an X-Ray Computed Tomography Image Processing Tool

       • José Luis García Arroyo, Begoña García Zapirain, Amaia Méndez Zorrilla

       Pages 74-82

   11. A Geometrical Method of Diffuse and Specular Image Components Separation

       • Ramón Moreno, Manuel Graña, Alicia d’Anjou

       Pages 83-89

   12. Optical Flow Reliability Model Approximated with RBF

       • Agis Rodrigo, Díaz Javier, Ortigosa Pilar, Guzmán Pablo, Ros Eduardo

       Pages 90-97

   13. Video and Image Processing with Self-Organizing Neural Networks

       • José García-Rodríguez, Enrique Domínguez, Anastassia Angelopoulou, Alexandra Psarrou, Francisco José Mora-Gimeno, Sergio Orts et al.

       Pages 98-104

3. Hybrid Artificial Neural Networks: Models, Algorithms and Data

   1. Parallelism in Binary Hopfield Networks

      • José Muñoz-Pérez, Amparo Ruiz-Sepúlveda, Rafaela Benítez-Rochel

      Pages 105-112

   2. Multi-parametric Gaussian Kernel Function Optimization for ε-SVMr Using a Genetic Algorithm

      • J. Gascón-Moreno, E. G. Ortiz-García, S. Salcedo-Sanz, A. Paniagua-Tineo, B. Saavedra-Moreno, J. A. Portilla-Figueras

      Pages 113-120

   3. Face Recognition System in a Dynamical Environment

      • Aldo Franco Dragoni, Germano Vallesi, Paola Baldassarri

      Pages 121-128

   4. Memetic Pareto Differential Evolutionary Neural Network for Donor-Recipient Matching in Liver Transplantation

      • M. Cruz-Ramírez, C. Hervás-Martínez, P. A. Gutiérrez, J. Briceño, M. de la Mata

      Pages 129-136

   5. Studying the Hybridization of Artificial Neural Networks in HECIC

      • José del Campo-Ávila, Gonzalo Ramos-Jiménez, Jesús Pérez-García, Rafael Morales-Bueno

      Pages 137-144

   6. Processing Acyclic Data Structures Using Modified Self-Organizing Maps

      • Gabriela Andrejková, Jozef Oravec

      Pages 145-152

This two-volume set LNCS 6691 and 6692 constitutes the refereed proceedings of the 11th International Work-Conference on Artificial Neural Networks, IWANN 2011, held in Torremolinos-Málaga, Spain, in June 2011. The 154 revised papers were carefully reviewed and selected from 202 submissions for presentation in two volumes. The second volume includes 76 papers organized in topical sections on video and image processing; hybrid artificial neural networks: models, algorithms and data; advances in machine learning for bioinformatics and computational biomedicine; biometric systems for human-machine interaction; data mining in biomedicine; bio-inspired combinatorial optimization; applying evolutionary computation and nature-inspired algorithms to formal methods; recent advances on fuzzy logic and soft computing applications; new advances in theory and applications of ICA-based algorithms; biological and bio-inspired dynamical systems; and interactive and cognitive environments. The last section contains 9 papers from the International Workshop on Intelligent Systems for Context-Based Information Fusion, ISCIF 2011, held at IWANN 2011.

• adaptive systems
• brain-like computing
• machine learning
• natural computing
• neural networks
• reconfigurable systems
• self-organizing systems

• Departament d’Enginyeria Electrònica, Universitat Politècnica de Catalunya (UPC), Barcelona, Spain

  Joan Cabestany

• Department of Computer Architecture and Computer Technology, University of Granada, Granada, Spain

  Ignacio Rojas

• Departamento Tecnologia Eletrónica, Universidad de Málaga, Málaga, Spain

  Gonzalo Joya

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