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Pattern Recognition Applications and Methods

Third International Conference, ICPRAM 2014, Angers, France, March 6-8, 2014, Revised Selected Papers

  • Conference proceedings
  • © 2015

Overview

Editors:
  1. Ana Fred

    1. Instituto de Telecomunicações, Lisboa, Portugal

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  2. Maria De Marsico

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

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    You can also search for this editor in PubMed   Google Scholar

  3. Antoine Tabbone

    1. LORIA-UMR 7503, Vandoevre-lès-Nancy, France

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 9443)

Part of the book sub series: Image Processing, Computer Vision, Pattern Recognition, and Graphics (LNIP)

Included in the following conference series:

Conference proceedings info: ICPRAM 2014.

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Table of contents (18 papers)

  1. Front Matter

    Pages I-XVI
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  2. Theory and Methods

    1. Front Matter

      Pages 1-1
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    2. Multiple Image Segmentation

      • Jonathan Smets, Manfred Jaeger
      Pages 3-18

    3. Aggregation of Biclustering Solutions for Ensemble Approach

      • Blaise Hanczar, Mohamed Nadif
      Pages 19-34

    4. Fuzzy C-Means Stereo Segmentation

      • Michal Krumnikl, Eduard Sojka, Jan Gaura
      Pages 35-49

    5. SCHOG Feature for Pedestrian Detection

      • Ryuichi Ozaki, Kazunori Onoguchi
      Pages 50-61

    6. Learning Prior Bias in Classifier

      • Takumi Kobayashi, Kenji Nishida
      Pages 62-76

    7. Intra-class Variance Among Multiple Samples of the Same Person’s Fingerprint in a Cooperative User Scenario

      • Vedrana Krivokuća, Waleed Abdulla
      Pages 77-92

    8. Kernel Matrix Completion for Learning Nearly Consensus Support Vector Machines

      • Sangkyun Lee, Christian Pölitz
      Pages 93-109

    9. An Empirical Comparison of Support Vector Machines Versus Nearest Neighbour Methods for Machine Learning Applications

      • Mori Gamboni, Abhijai Garg, Oleg Grishin, Seung Man Oh, Francis Sowani, Anthony Spalvieri-Kruse et al.
      Pages 110-129

  3. Applications

    1. Front Matter

      Pages 131-131
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    2. Improving the Detection of Relations Between Objects in an Image Using Textual Semantics

      • Dennis Medved, Fangyuan Jiang, Peter Exner, Magnus Oskarsson, Pierre Nugues, Kalle Åström
      Pages 133-145

    3. A ToF-Aided Approach to 3D Mesh-Based Reconstruction of Isometric Surfaces

      • S. Jafar Hosseini, Helder Araujo
      Pages 146-161

    4. Segmentation of Tomatoes in Open Field Images with Shape and Temporal Constraints

      • Ujjwal Verma, Florence Rossant, Isabelle Bloch, Julien Orensanz, Denis Boisgontier
      Pages 162-178

    5. Fast and Accurate Pedestrian Detection in a Truck’s Blind Spot Camera

      • Kristof Van Beeck, Toon Goedemé
      Pages 179-195

    6. Comparing Different Labeling Strategies in Anomalous Power Consumptions Detection

      • Fernanda Rodríguez, Federico Lecumberry, Alicia Fernández
      Pages 196-205

    7. An Efficient Shape Feature Extraction, Description and Matching Method Using GPU

      • Leonardo Chang, Miguel Arias-Estrada, José Hernández-Palancar, L. Enrique Sucar
      Pages 206-221

    8. Utilization of Multiple Sequence Analyzers for Bibliographic Information Extraction

      • Atsuhiro Takasu, Manabu Ohta
      Pages 222-236

    9. Statistically Representative Cloud of Particles for Crowd Flow Tracking

      • Patrick Jamet, Stephen Chai Kheh Chew, Antoine Fagette, Jean-Yves Dufour, Daniel Racoceanu
      Pages 237-251

    10. Preserving Maximum Color Contrast in Generation of Gray Images

      • Alex Yong-Sang Chia, Keita Yaegashi, Soh Masuko
      Pages 252-262
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  1. Pattern Recognition Applications and Methods

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About this book

This book constitutes the thoroughly refereed post-conference proceedings of the Third International Conference on Pattern Recognition, ICPRAM 2014, held in Angers, France, in March 2014.

The 18 revised full papers were carefully reviewed and selected from 179 submissions and describe up-to-date 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, Lisboa, Portugal

    Ana Fred

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

    Maria De Marsico

  • LORIA-UMR 7503, Vandoevre-lès-Nancy, France

    Antoine Tabbone

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