- Ph.D. vacancy in Machine learning for Novel Imaging Systems, co-funded by Amazon and QuantIC
- Bea Vad presents at ISMIR 2015 in Spain
- A conceptual model of the future of input devices
- Seminar: Engaging with Music Retrieval
- Deep non-parametric learning with Gaussian processes Speaker: Andreas Damianou, Sheffield University
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Ph.D. vacancy in Machine learning for Novel Imaging Systems at the University of Glasgow, supervised by Prof. Roderick Murray-Smith Available immediately, part-funded and run in collaboration with Amazon Research and QuantIC , the UK Quantum Technology Hub in Quantum Enhanced … Continue reading
Bea presented the paper: B. Vad, Boland, D., Williamson, J., Murray-Smith, R., and Steffensen, P. B., Design and evaluation of a probabilistic music projection interface, In: 16th International Society for Music Information Retrieval Conference, Malaga, Spain, 26-30 Oct 2015.
Speaker: John Williamson Date: 14 October, 2015 Time: 14:00 – 15:00 Location: Sir Alwyn Williams Building, 422 Seminar Room Turning sensor engineering into advances into human computer interaction is slow, ad hoc and unsystematic. I’ll discuss a fundamental approach to input device engineering, and illustrate how machine … Continue reading
Engaging with Music Retrieval Speaker: Daniel Boland Date: 09 September, 2015 Time: 14:00 – 15:00 Location: Sir Alwyn Williams Building, 422 Seminar Room Music collections available to listeners have grown at a dramatic pace, now spanning tens of millions of tracks. Interacting with a … Continue reading