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FIAS Scientific Report 2011 - Frankfurt Institute for Advanced Studies ...

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− construct a large visual memory <strong>for</strong> general scene representation,<br />

− develop virtual simulation tools <strong>for</strong> simulating large amounts of data <strong>for</strong> offline training,<br />

− evaluate the ability to per<strong>for</strong>m transfer learning on real data sets,<br />

− develop novel autonomous learning methods <strong>for</strong> video representations,<br />

− develop cue fusion and integration methods,<br />

− develop modules <strong>for</strong> icub robotics and video surveillance to demonstrate autonomous learning<br />

in active vision context and event/activity analysis from video.<br />

A modular execution model has been adopted wherein long-term science work-packages can be seamlessly<br />

integrated with systems science and engineering ef<strong>for</strong>ts planned. A committee based management<br />

model is adopted <strong>for</strong> various Phd students in order to achieve increased integration. Systematic<br />

processes and rigorous project management structure is setup in order to mitigate any future risks in<br />

the project.<br />

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