Monthly Archives: January 2013

Seminar 31/1/13 – Shimin Feng

Fusing Kinect and Inertial Sensors User authentication and identification plays an important role in many fields such as Human Computer Interaction and Computer Security. In a family, it can help build a context-aware application for helping the family members personalize … Continue reading

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Seminar 17/1/13 – Javier Arriero

Information fusion with RKHS spaces When having multiple sources of information referring to the same inference task, each of them conveys complementary but often repeated or contradicting information. This talk surveys techniques using Reproducing Kernel Hilbert Spaces (RKHS) as a … Continue reading

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Seminar 4/4/13 – Iain Murray (University of Edinburgh)

Flexible models for high-dimensional probability distributions Statistical modelling often involves representing high-dimensional probability distributions. The textbook baseline methods, such as mixture models (non-parametric Bayesian or not), often don’t use data efficiently. Whereas the machine learning literature has proposed methods, such … Continue reading

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