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Similarity-Based Pattern Recognition

Third International Workshop, SIMBAD 2015, Copenhagen, Denmark, October 12-14, 2015. Proceedings

  • Conference proceedings
  • © 2015

Overview

Editors:
  1. Aasa Feragen

    1. University of Copenhagen, Copenhagen, Denmark

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  2. Marcello Pelillo

    1. DAIS, Università Ca' Foscari Venezia, Venezia Mestre, Italy

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    You can also search for this editor in PubMed   Google Scholar

  3. Marco Loog

    1. Delft University of Technology, Delft, The Netherlands

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 9370)

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

Included in the following conference series:

Conference proceedings info: SIMBAD 2015.

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Table of contents (16 papers)

  1. Front Matter

    Pages I-VIII
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  2. A Novel Data Representation Based on Dissimilarity Increments

    • Helena Aidos, Ana Fred
    Pages 1-14

  3. Characterizing Multiple Instance Datasets

    • Veronika Cheplygina, David M. J. Tax
    Pages 15-27

  4. Supervised Learning of Diffusion Distance to Improve Histogram Matching

    • Tewodros M. Dagnew, Umberto Castellani
    Pages 28-37

  5. Similarity Analysis from Limiting Quantum Walks

    • Manuel Curado, Francisco Escolano, Edwin R. Hancock, Farshad Nourbakhsh, Marcello Pelillo
    Pages 38-53

  6. Introducing Negative Evidence in Ensemble Clustering Application in Automatic ECG Analysis

    • David G. Márquez, Ana L. N. Fred, Abraham Otero, Constantino A. García, Paulo Félix
    Pages 54-69

  7. Dissimilarity Representations for Low-Resolution Face Recognition

    • Mairelys Hernández-Durán, Veronika Cheplygina, Yenisel Plasencia-Calaña
    Pages 70-83

  8. Deep Metric Learning Using Triplet Network

    • Elad Hoffer, Nir Ailon
    Pages 84-92

  9. Cluster Merging Based on Dominant Sets

    • Jian Hou, Chunshi Sha, Hongxia Cui, Lei Chi
    Pages 93-102

  10. An Adaptive Radial Basis Function Kernel for Support Vector Data Description

    • André E. Lazzaretti, David M. J. Tax
    Pages 103-116

  11. Robust Initialization for Learning Latent Dirichlet Allocation

    • Pietro Lovato, Manuele Bicego, Vittorio Murino, Alessandro Perina
    Pages 117-132

  12. Unsupervised Motion Segmentation Using Metric Embedding of Features

    • Yusuf Osmanlıoğlu, Sven Dickinson, Ali Shokoufandeh
    Pages 133-145

  13. Transitive Assignment Kernels for Structural Classification

    • Michele Schiavinato, Andrea Gasparetto, Andrea Torsello
    Pages 146-159

  14. Large Scale Indefinite Kernel Fisher Discriminant

    • Frank-Michael Schleif, Andrej Gisbrecht, Peter Tino
    Pages 160-170

  15. Similarity-Based User Identification Across Social Networks

    • Katerina Zamani, Georgios Paliouras, Dimitrios Vogiatzis
    Pages 171-185

  16. Dominant-Set Clustering Using Multiple Affinity Matrices

    • Eyasu Zemene, Samuel Rota Bulò, Marcello Pelillo
    Pages 186-198

  17. Discovery of Salient Low-Dimensional Dynamical Structure in Neuronal Population Activity Using Hopfield Networks

    • Felix Effenberger, Christopher Hillar
    Pages 199-208

  18. Back Matter

    Pages 209-229
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Keywords

About this book

This book constitutes the proceedings of the Third International Workshop on Similarity Based Pattern Analysis and Recognition, SIMBAD 2015, which was held in Copenahgen, Denmark, in October 2015. The 15 full and 8 short papers presented were carefully reviewed and selected from 30 submissions.The workshop focus on problems, techniques, applications, and perspectives: from supervisedto unsupervised learning, from generative to discriminative models, and from
theoretical issues to empirical validations.

Editors and Affiliations

  • University of Copenhagen, Copenhagen, Denmark

    Aasa Feragen

  • DAIS, Università Ca' Foscari Venezia, Venezia Mestre, Italy

    Marcello Pelillo

  • Delft University of Technology, Delft, The Netherlands

    Marco Loog

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