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State of the art protein-protein interaction prediction
In another indication that the Machine Learning behind most Computer Vision Problems has more general applicability, we have just had a paper accepted which shows that the approach we developed for pedestrian detection achieves the world’s best performance in predicting protein-protein interactions.
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In deep learning end-to-end training of segmentation is best
A research team (Dr. Guosheng Lin, Prof. Chunhua Shen, Prof. Ian Reid, Prof. Anton van den Hengel) at the School of Computer Science, The University of Ʊ developed innovative “Deep Structured Learning” techniques that set up the new state-of-the-art semantic image segmentation record in the PASCAL VOC Challenge, which is organised by the University of Oxford. The Ʊ team is the top one currently, outperforming teams from Microsoft Research, Oxford, University of California, Los Angles etc.
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Second Scenes from Video workshop to be held in Chile
Michael Black and Anton van den Hengel are organising the , which will be held in the Colchagua Valley, one of Chile’s pre-eminent wine regions, and will include a variety of functions and excursions exploring the region and its fare.
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