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ANC Workshop Talk: Iain Murray and Ondrej Mandula, Chair: Richard Shillcock

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What
  • ANC Workshop Talk
When May 22, 2012
from 11:00 AM to 12:00 PM
Where IF 4.31/4.33
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Iain Murray

Markov chain Monte Carlo without a good rand() function

There is a widely quoted epigram that "the generation of random numbers is too important to be left to chance". We show that, in fact, one of the largest consumers of random numbers, Markov chain Monte Carlo, can be fixed up so that it does not require high-quality random numbers.

For a more detailed abstract and paper see: http://tinyurl.com/badrand

 

Ondrej Mandula

Learning from a microscope machine

Machine learning techniques applied to data from an optical microscope might increase the resolution in the images of biological specimen.  We apply non-negative matrix factorisation to a movie of intermittent fluorescent emitters attached to structures within a biological sample.  Separation of the individual sources allows their precise localisation. An image composed from the estimated sources' positions can reveal details beyond the classical resolution limit.