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

1. Front Matter

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2. Invited Talks

   1. Recent Advances in Kernel Machines

      • Stéphane Canu

      Pages 1-1

   2. Design of Pattern Classifiers Using Optimum-Path Forest with Applications in Image Analysis

      • Alexandre X. Falcão

      Pages 2-2

   3. Vision-Based Control of Robot Motion

      • Seth Hutchinson

      Pages 3-3

   4. Soft Computing, f-Granulation and Pattern Recognition

      • Sankar K. Pal

      Pages 4-4

   5. Computational Illumination

      • Matthew Turk

      Pages 5-5

3. Color, Shape and Texture

   1. Color Texture Analysis and Classification: An Agent Approach Based on Partially Self-avoiding Deterministic Walks

      • André Ricardo Backes, Alexandre Souto Martinez, Odemir Martinez Bruno

      Pages 6-13

   2. Characterizing 3D Shapes Using Fractal Dimension

      • André Ricardo Backes, Danilo Medeiros Eler, Rosane Minghim, Odemir Martinez Bruno

      Pages 14-21

   3. Multiresolution Histogram Analysis for Color Reduction

      • Giuliana Ramella, Gabriella Sanniti di Baja

      Pages 22-29

4. Graphs and Hypergraphs

   1. Graph of Words Embedding for Molecular Structure-Activity Relationship Analysis

      • Jaume Gibert, Ernest Valveny, Horst Bunke

      Pages 30-37

   2. A Hypergraph Reduction Algorithm for Joint Segmentation and Classification of Satellite Image Content

      • Alain Bretto, Aurélien Ducournau, Soufiane Rital

      Pages 38-45

   3. A Static Video Summarization Method Based on Hierarchical Clustering

      • Silvio Jamil F. Guimarães, Willer Gomes

      Pages 46-54

5. Biomedical Imaging

   1. Histopathological Image Classification Using Stain Component Features on a pLSA Model

      • Gloria Díaz, Eduardo Romero

      Pages 55-62

   2. Modified Expectation Maximization Algorithm for MRI Segmentation

      • Ramiro Donoso, Alejandro Veloz, Héctor Allende

      Pages 63-70

   3. Generation of Synthetic Multifractal Realistic Surfaces Based on Natural Model and Lognormal Cascade: Application to MRI Classification

      • Mohamed Khider, Abdelmalik Taleb-Ahmed, Boualem Haddad

      Pages 71-78

6. Retrieval, Mining and Learning

   1. Content-Based Emblem Retrieval Using Zernike Moments

      • Ezequiel Cura, Mariano Tepper, Marta Mejail

      Pages 79-86

   2. A New Algorithm for Training SVMs Using Approximate Minimal Enclosing Balls

      • Emanuele Frandi, Maria Grazia Gasparo, Stefano Lodi, Ricardo Ñanculef, Claudio Sartori

      Pages 87-95

   3. A Hybrid Face Recognition Approach Using GPUMLib

      • Noel Lopes, Bernardete Ribeiro

      Pages 96-103

7. Learning, Recognition and Clustering

   1. Self-training for Handwritten Text Line Recognition

      • Volkmar Frinken, Horst Bunke

      Pages 104-112

   2. Improving the Dynamic Hierarchical Compact Clustering Algorithm by Using Feature Selection

      • Reynaldo Gil-García, Aurora Pons-Porrata

      Pages 113-120

Pattern recognition is a central topic in contemporary computer sciences, with continuously evolving topics, challenges, and methods, including machine learning, content-based image retrieval, and model- and knowledge-based - proaches, just to name a few. The Iberoamerican Congress on Pattern Recog- tion (CIARP) has become established as a high-quality conference, highlighting the recent evolution of the domain. These proceedings include all papers presented during the 15th edition of this conference, held in Sao Paulo, Brazil, in November 2010. As was the case for previous conferences, CIARP 2010 attracted parti- pants from around the world with the aim of promoting and disseminating - going research on mathematical methods and computing techniques for pattern recognition, computer vision, image analysis, and speech recognition, as well as their applications in such diverse areas as robotics, health, entertainment, space exploration, telecommunications, data mining, document analysis,and natural language processing and recognition, to name only a few of them. Moreover, it provided a forum for scienti?c research, experience exchange, sharing new kno- edge and increasing cooperation between research groups in pattern recognition and related areas. It is important to underline that these conferences have contributed sign- icantly to the growth of national associations for pattern recognition in the Iberoamerican region, all of them as members of the International Association for Pattern Recognition (IAPR).

• 3D image interpretation
• JPEG
• Support Vector Machine
• algorithms
• artificial neural networks
• character recognition
• classification
• clustering
• compression
• computer vision
• face rec
• image analysis
• image filtering
• pattern recognition
• speech recognition
• algorithm analysis and problem complexity

• Département Traitement du Signal et des Images, CNRS LTCI, Télécom ParisTech, Paris Cedex 13, France

  Isabelle Bloch

• Institute of Mathematics and Statistics - IME, Department of Computer Science, University of São Paulo - USP, São Paulo, Brazil

  Roberto M. Cesar

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