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Please add your uun, name and poster title here (on a new line) if you would like to present it at the 2016 MincePies, Drinks and DataScience Posters event.

s1467463, Rafael Karampatsis, Probabilistic Models of Source Code

s1008057, Charlie Nash, Generative Models of Part Structured 3D Objects

s1251804, Pol Moreno, Overcoming Occlusion with Inverse Graphics

rbf, Bob Fisher, TRIMBOT2020 : A gardening robot for rose, hedge and topiary trimming (A portrait poster)

mgutmann, Michael Gutmann, Fast Likelihood-Free Inference via Bayesian Optimization

s1206139, Jozef Mokry, Pipeline-tolerant decoder

s0805516, Gavin Gray, Resource-Efficient Feature Gathering at Test Time

-- AmosStorkey - 10 Nov 2016

wchen2, Wei Chen, More Semantics More Robust: Improving Android Malware Classifiers by Learning App Behaviour.

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Topic revision: r11 - 28 Nov 2016 - 03:30:08 - Main.s1459647
 
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