PhD Thesis Semi-Supervised Ensemble Methods for Computer Vision

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144 Chapter A. Publications (8) Martin Godec, Christian Leistner, Horst Bischof, Andreas Starzacher and Bernhard Rinner, Audio Visual Co-Training for Vehicle Classification, submitted to AVSS 2010 (9) Martin Godec, Christian Leistner, Horst Bischof, Andreas Starzacher and Bernhard Rinner, Autonomous Audio-Supported Learning of Visual Classifiers for Traffic Monitoring, IEEE Intelligent Systems, 2010 (10) Amir Saffari,Martin Godec, Thomas Pock, Christian Leistner and Horst Bischof, On-line Multiclass LPBoost, In Proc. CVPR, 2010 (11) Jakob Santner, Christian Leistner, Amir Saffari, Thomas Pock and Horst Bischof, PROST: Parallel Robust Simple Tracking, In Proc. CVPR, 2010 (12) Bernhard Zeisl, Christian Leistner, Amir Saffari and Horst Bischof, On-line Semi- Supervised Multiple Instance Boosting, In Proc. CVPR, 2010 (13) Jakob Santner, Markus Unger, Thomas Pock, Christian Leistner, Amir Saffari and Horst Bischof, Interactive Texture Segmentation using Random Forests and Total Variation, In Proc. BMVC, 2009 (14) Peter M. Roth, Christian Leistner, Helut Grabner and Horst Bischof, On-line Learning in Multiple Camera Networks, In Multicamera Networks, Principles and Applications, Academic Press, 2009 (15) Martin Godec, Helmut Grabner, Christian Leistner and Horst Bischof, Speeding up Semi-Supervised On-line Boosting for Tracking, AAPR / ÖAGM, 2009 (16) Amir Saffari, Christian Leistner, Jakob Santner, Martin Godec and Horst Bischof, On-line Random Forests, 3re IEEE ICCV Workshop on OLCV, 2009 (17) Christian Leistner, Amir Saffari and Horst Bischof, On Robustness of On-line Boosting: A Competitive Study, 3re IEEE ICCV Workshop on OLCV, 2009 (18) Christian Leistner, Amir Saffari, Jakob Santer and Horst Bischof, Semi-supervised Random Forests, ICCV, 2009 (19) Amir Saffari, Christian Leistner and Horst Bischof, Regularized Multiclass Semisupervised Boosting, CVPR, 2009 (20) Christian Leistner, Peter M. Roth and Horst Bischof, Visual On-line Learning in Distributed Camera Networks, In Proc. IEEE ICDSC, 2008
145 (21) Peter M. Roth, Helmut Grabner, Christian Leistner, Martin Winter and Horst Bischof, Interactive Learning a Person Detector: Fewer Clicks, less Frustration, In Proc. AAPR / ÖAGM, 2008 (22) Christian Leistner, Helmut Grabner and Horst Bischof, Semi-supervised Boosting using Visual Similarity Learning, In Proc. IEEE CVPR, 2008 (23) Helmut Grabner, Christian Leistner and Horst Bischof, Semi-supervised On-line Boosting for Robust Tracking, In Proc. ECCV, 2008 T (24) Helmut Grabner, Christian Leistner and Horst Bischof, Time-Dependent On-line Boosting for Robust Background Modeling, In Proc. VISAP, 2008 (25) Clemens Arth, Christian Leistner and Horst Bischof, Object Reacquisition and Tracking in Large-Scale Smart Camera Networks, In Proc. IEEE ICDSC, 2008 (26) Clemens Arth, Christian Leistner and Horst Bischof, Robust Local Features and Their Application in Self-Calibration and Object Recognition on Embedded Systems, In Proc. IEEE CVPR Workshop on ECV, 2007 (27) Clemens Arth, Christian Leistner and Horst Bischof, TRICAM: An Embedded Platform for Remote Traffic Surveillance, In Proc. IEEE CVPR Workshop on ECV, 2006
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PhD Thesis Semi-Supervised Ensemble
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Statutory Declaration I declare tha
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Most of all, I would like to thank
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learning. Finally, we hypothesize t
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sten Teil dieser Arbeit schlagen wi
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ii CONTENTS 3.6 Graph-based Methods
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iv CONTENTS 10 Conclusion 137 10.1
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vi LIST OF FIGURES 4.8 Performance
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viii LIST OF FIGURES 9.7 Comparison
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x LIST OF FIGURES
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xii LIST OF TABLES 8.2 Results and
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xiv LIST OF ALGORITHMS
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2 Chapter 1. Introduction Figure 1.
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4 Chapter 1. Introduction the liter
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6 Chapter 1. Introduction 1.1 Contr
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8 Chapter 1. Introduction
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10 Chapter 2. Preliminaries and Not
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26 Chapter 3. Overview of Semi-Supe
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44 Chapter 4. SemiBoost and Visual
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62 Chapter 5. On-line Semi-Supervis
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84 Chapter 6. Semi-Supervised Rando
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Page 176 and 177: 150 BIBLIOGRAPHY [Balcan et al., 20
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Page 180 and 181: 154 BIBLIOGRAPHY [Gall and Lempinsk
Page 182 and 183: 156 BIBLIOGRAPHY [Leistner et al.,
Page 184 and 185: 158 BIBLIOGRAPHY [Nigam et al., 200
Page 186 and 187: 160 BIBLIOGRAPHY [Shalev-Shwartz, 2
Page 188 and 189: 162 BIBLIOGRAPHY [Xu et al., 2009]
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PhD Thesis Semi-Supervised Ensemble Methods for Computer Vision

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