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Pattern Recognition Applications and Methods

International Conference, ICPRAM 2013 Barcelona, Spain, February 15-18, 2013 Revised Selected Papers

  • Conference proceedings
  • © 2015

Overview

Editors:
  1. Ana Fred

    1. Instituto de Telecomunicações, Instituto Superior Técnico, Technical University of Lisbon, Lisbon, Portugal

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    You can also search for this editor in PubMed   Google Scholar

  2. Maria De Marsico

    1. Department of Computer Science, Sapienza University of Rome, Roma, Italy

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    You can also search for this editor in PubMed   Google Scholar

  • The latest Applications and Methods of Pattern Recognition
  • Extended revised versions of the papers of the second International Conference, ICPRAM 2013 held in Barcelona, Spain, February 15-18, 2013
  • Written by leading experts in the field
  • Includes supplementary material: sn.pub/extras

Part of the book series: Advances in Intelligent Systems and Computing (AISC, volume 318)

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Table of contents (20 papers)

  1. Front Matter

    Pages i-xv
    Download chapter PDF

  2. Theory and Methods

    1. Front Matter

      Pages 1-1
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    2. A Two-Part Approach to Face Recognition: Generalized Hough Transform and Image Descriptors

      • Marian Moise, Xue Dong Yang, Richard Dosselmann
      Pages 3-16

    3. Improved Boosting Performance by Explicit Handling of Ambiguous Positive Examples

      • Miroslav Kobetski, Josephine Sullivan
      Pages 17-37

    4. Discriminative Dimensionality Reduction for the Visualization of Classifiers

      • Andrej Gisbrecht, Alexander Schulz, Barbara Hammer
      Pages 39-56

    5. Online Unsupervised Neural-Gas Learning Method for Infinite Data Streams

      • Mohamed-Rafik Bouguelia, Yolande Belaïd, Abdel Belaïd
      Pages 57-70

    6. The Path Kernel: A Novel Kernel for Sequential Data

      • Andrea Baisero, Florian T. Pokorny, Danica Kragic, Carl Henrik Ek
      Pages 71-84

    7. A MAP Approach to Evidence Accumulation Clustering

      • André Lourenço, Samuel Rota Bulò, Nicola Rebagliati, Ana Fred, Mário Figueiredo, Marcello Pelillo
      Pages 85-100

    8. Feature Discretization with Relevance and Mutual Information Criteria

      • Artur J. Ferreira, Mário A. T. Figueiredo
      Pages 101-118

    9. Multiclass Semi-supervised Learning on Graphs Using Ginzburg-Landau Functional Minimization

      • Cristina Garcia-Cardona, Arjuna Flenner, Allon G. Percus
      Pages 119-135

    10. Probabilistic Discriminative Dimensionality Reduction for Pose-Based Action Recognition

      • Valsamis Ntouskos, Panagiotis Papadakis, Fiora Pirri
      Pages 137-152

    11. Graph Cut Based Segmentation of Predefined Shapes: Applications to Biological Imaging

      • Emmanuel Soubies, Pierre Weiss, Xavier Descombes
      Pages 153-170

    12. Artificial Neural Network Modeling of Relative Humidity and Air Temperature Spatial and Temporal Distributions Over Complex Terrains

      • Kostas Philippopoulos, Despina Deligiorgi, Georgios Kouroupetroglou
      Pages 171-187

  3. Applications

    1. Front Matter

      Pages 189-189
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    2. Beyond SIFT for Image Categorization by Bag-of-Scenes Analysis

      • Sébastien Paris, Xanadu Halkias, Hervé Glotin
      Pages 191-207

    3. Unsupervised Learning of Semantics of Object Detections for Scene Categorization

      • Grégoire Mesnil, Salah Rifai, Antoine Bordes, Xavier Glorot, Yoshua Bengio, Pascal Vincent
      Pages 209-224

    4. Supervised Learning of Anatomical Structures Using Demographic and Anthropometric Information

      • Yoshito Otake, Catherine M. Carneal, Blake C. Lucas, Gaurav Thawait, John A. Carrino, Brian D. Corner et al.
      Pages 225-240

    5. Wikifying Novel Words to Mixtures of Wikipedia Senses by Structured Sparse Coding

      • Balázs Pintér, Gyula Vörös, Zoltán Szabó, András Lőrincz
      Pages 241-255

    6. Measuring Linearity of Planar Curves

      • Joviša Žunić, Jovanka Pantović, Paul L. Rosin
      Pages 257-271

    7. Video Segmentation Framework Based on Multi-kernel Representations and Feature Relevance Analysis for Object Classification

      • S. Molina-Giraldo, J. Carvajal-González, A. M. Álvarez-Meza, G. Castellanos-Domínguez
      Pages 273-283
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Keywords

About this book

This book contains the extended and revised versions of a set of selected papers from the 2nd International Conference on Pattern Recognition (ICPRAM 2013), held in Barcelona, Spain, from 15 to 18 February, 2013. ICPRAM was organized by the Institute for Systems and Technologies of Information, Control and Communication (INSTICC) and was held in cooperation with the Association for the Advancement of Artificial Intelligence (AAAI).

The hallmark of this conference was to encourage theory and practice to meet in a single venue.

The focus of the book is on contributions describing applications of Pattern Recognition techniques to real-world problems, interdisciplinary research, experimental and/or theoretical studies yielding new insights that advance Pattern Recognition methods.

Editors and Affiliations

  • Instituto de Telecomunicações, Instituto Superior Técnico, Technical University of Lisbon, Lisbon, Portugal

    Ana Fred

  • Department of Computer Science, Sapienza University of Rome, Roma, Italy

    Maria De Marsico

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