08:30 - 08:45
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Welcome and Opening
Fatih Porikli, Herlmut Grabner, Bernt Schiele
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08:45 - 9:30
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Invited Talk
Online Learning in Large Data Scenarios
Jay Yagnik, Google Inc |
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| Session 1: Tracking |
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09:30 - 09:55
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Online Multiple Classifier Boosting for Object Tracking
Tae-Kyun Kim (University of Cambridge), Thomas Woodley (University of Cambridge), Bjorn Stenger (Toshiba Research Europe), Roberto Cipolla (University of Cambridge) |
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09:55 - 10:20
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Online Learning for Attention, Recognition, and Tracking by a Single Developmental Framework
Juyang Weng (Michigan State), Matt Luciw (Michigan State University) |
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| 10:20 - 10:40 |
Coffee Break |
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10:40 - 11:25
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Invited Talk
Online Learning: Label Elicitation And Beyond
Ashish Kapoor, Microsoft Research |
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| Session 2: Semi-supervised Learning |
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11:25 - 11:50
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Online Semi-Supervised Perception: Real-Time Learning without Explicit Feedback
Branislav Kveton (Intel Labs Santa Clara), Michal Valko (University of Pittsburgh), Matthai Philipose (Intel Labs Seattle), Ling Huang (Intel Labs Berkeley)
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11:50 - 12:15
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TransientBoost: Online Boosting with Transient Data
Sabine Sternig (Graz University of Technology), Martin Godec (Graz University of Technology), Peter Roth (Graz University of Technology), Horst Bischof (Graz University of Technology)
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| 12:15 - 14:00 |
Lunch Break |
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14:00 - 14:45
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Invited Talk
Efficient Fashion-driven Learning Approach to Model User Preferences in Online Shopping Scenarios
Burak Gokturk |
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| Session 3: Large Scale Online Learning |
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14:45 - 15:10
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Online Learning for Parameter Selection in Large Scale Image Search
Mohamed Aly (Caltech) |
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15:10 - 15:35
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OM-2: An Online Multi-class Multi-kernel Learning Algorithm
Jie Luo (Idiap/EPF Lausanne), Francesco Orabona (University of Milano), Marco Fornoni (Idiap/EPF Lausanne), Barbara Caputo (Idiap Research Institute), Nicolò Cesa-Bianchi (Università degli Studi di Milano) |
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| 15:35 - 15:40 |
Closing Remarks, Best Paper Award |
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