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Partially Supervised Learning

First IAPR TC3 Workshop, PSL 2011, Ulm, Germany, September 15-16, 2011, Revised Selected Papers

  • Conference proceedings
  • © 2012

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Editors:
  1. Friedhelm Schwenker
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  2. Edmondo Trentin
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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 7081)

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

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Conference proceedings info: PSL 2011.

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Table of contents (17 papers)

  1. Front Matter

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  2. Invited Talks

    1. Unlabeled Data and Multiple Views

      • Zhi-Hua Zhou
      Pages 1-7

    2. Online Semi-supervised Ensemble Updates for fMRI Data

      • Catrin O. Plumpton
      Pages 8-18

    3. Studying Self- and Active-Training Methods for Multi-feature Set Emotion Recognition

      • José Esparza, Stefan Scherer, Friedhelm Schwenker
      Pages 19-31

  3. Algorithms

    1. Semi-supervised Linear Discriminant Analysis Using Moment Constraints

      • Marco Loog
      Pages 32-41

    2. Manifold-Regularized Minimax Probability Machine

      • Kazuki Yoshiyama, Akito Sakurai
      Pages 42-51

    3. Supervised and Unsupervised Co-training of Adaptive Activation Functions in Neural Nets

      • Ilaria Castelli, Edmondo Trentin
      Pages 52-61

    4. Semi-unsupervised Weighted Maximum-Likelihood Estimation of Joint Densities for the Co-training of Adaptive Activation Functions

      • Ilaria Castelli, Edmondo Trentin
      Pages 62-71

    5. Semi-Supervised Kernel Clustering with Sample-to-Cluster Weights

      • Stefan Faußer, Friedhelm Schwenker
      Pages 72-81

    6. Homeokinetic Reinforcement Learning

      • Simón C. Smith, J. Michael Herrmann
      Pages 82-91

    7. Iterative Refinement of HMM and HCRF for Sequence Classification

      • Yann Soullard, Thierry Artieres
      Pages 92-95

  4. Applications

    1. On the Utility of Partially Labeled Data for Classification of Microarray Data

      • Ludwig Lausser, Florian Schmid, Hans A. Kestler
      Pages 96-109

    2. Multi-instance Methods for Partially Supervised Image Segmentation

      • Andreas Müller, Sven Behnke
      Pages 110-119

    3. Semi-supervised Training Set Adaption to Unknown Countries for Traffic Sign Classifiers

      • Matthias Hillebrand, Christian Wöhler, Ulrich Kreßel, Franz Kummert
      Pages 120-127

    4. Comparison of Combined Probabilistic Connectionist Models in a Forensic Application

      • Edmondo Trentin, Luca Lusnig, Fabio Cavalli
      Pages 128-137

    5. Classification of Emotional States in a Woz Scenario Exploiting Labeled and Unlabeled Bio-physiological Data

      • Martin Schels, Markus Kächele, David Hrabal, Steffen Walter, Harald C. Traue, Friedhelm Schwenker
      Pages 138-147

    6. Using Self Organizing Maps to Find Good Comparison Universities

      • Cameron Cooper, Robert Kilmer
      Pages 148-153

    7. Sink Web Pages in Web Application

      • Doru Anastasiu Popescu
      Pages 154-158

  5. Back Matter

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Other volumes

  1. Partially Supervised Learning

Keywords

About this book

This book constitutes thoroughly refereed revised selected papers from the First IAPR TC3 Workshop on Partially Supervised Learning, PSL 2011, held in Ulm, Germany, in September 2011. The 14 papers presented in this volume were carefully reviewed and selected for inclusion in the book, which also includes 3 invited talks. PSL 2011 dealt with methodological issues as well as real-world applications of PSL. The main methodological issues were: combination of supervised and unsupervised learning; diffusion learning; semi-supervised classification, regression, and clustering; learning with deep architectures; active learning; PSL with vague, fuzzy, or uncertain teaching signals; learning, or statistical pattern recognition; and PSL in cognitive systems. Applications of PSL included: image and signal processing; multi-modal information processing; sensor/information fusion; human computer interaction; data mining and Web mining; forensic anthropology; and bioinformatics.

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