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9:00-9:15 |
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Christoph von der Malsburg: |
Welcome and Introduction
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9:15-10:05 |
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Christos Dimitrakakis: |
Statistical decision problems |
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10:05-10:25 |
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Coffee Break |
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10:25-11:15 |
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Constantin Rothkopf: |
Introduction to probabilistic
models in time |
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11:15-12:05 |
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Rudra Hota: |
Democratic Cue Integration Based
Segmentation |
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12:05-13:15 |
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Lunch Break |
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13:15-14:15 |
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Jörg Lücke and Zhenwen Dai: |
Probabilistic Mixture Models and
Their Applications to Object Learning |
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14:15-14:45 |
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Coffee Break |
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14:45-15:35 |
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Thomas Weisswange: |
Development of cue integration
through reinforcement learning |
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15:35-16:25 |
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Pramod Chandrashekhariah: |
Current usage of features in
computer vision |
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16:25-17:00
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Discussion |
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