Modelling the Human Eye: A look at statistical and machine learning techniques

Add to your list(s) Download to your calendar using vCal

• Adam Kashlak (CCA)
• Wednesday 09 March 2016, 16:00-17:00
• MR14, Centre for Mathematical Sciences.

If you have a question about this talk, please contact Mr Simone Parisotto.

Modelling and predicting the complex movements of the human eye when it is presented with an image to observe has been a challenging task for vision researchers, computer scientists, and statisticians. In 2015, the Royal Statistical Society presented a data set of eye movements as a challenge problem to young researchers. Using this data as a foundation, we will present an expository look at a variety of machine learning and statistics techniques in the context of this data. Methods include spatial clustering algorithms, nearest-neighbour classifiers, non-parametric density estimation, mixture models, Bayesian model selection, and (not-quite-hidden) Markov models. There will also be a lot of pretty pictures.

This talk is part of the Cambridge Analysts' Knowledge Exchange series.

This talk is included in these lists:

• All CMS events
• CMS Events
• Cambridge Analysts' Knowledge Exchange
• Cambridge Centre for Data-Driven Discovery (C2D3)
• Cambridge talks
• Chris Davis' list
• DAMTP info aggregator
• Interested Talks
• MR14, Centre for Mathematical Sciences
• My seminars
• Trust & Technology Initiative - interesting events
• bld31
• ndk22's list
• ob366-ai4er
• rp587

Note that ex-directory lists are not shown.