Neural Information Processing Systems / Table I. / Cambridge University Press / fMRI / Neural Networks / MIT Press / Elsevier Academic Press / Volterra / Intel / Microsoft / Siemens / /
Event
M&A / /
Facility
Trinity College / Dynamic Systems Library / Australian National University / Imperial College / Institute of Statistical Mathematics / Imperial College/UCL University of London / University of Edinburgh / /
IndustryTerm
box-car function / software engineering / performance computing / indii.org/software/dysii / magnetic resonance imaging / dual-tree algorithm / box-car input / closed form solution / higher-order integrators / box-car function switching / sequential smoothing algorithm / continuous time dynamical systems / medical imaging modality / finance / /
Organization
Cambridge University / Trinity College / vol. / American Statistical Association / MIT / Wellcome Department of Imaging Neuroscience / University of Edinburgh / National Aeronautics and Space Administration / School of Informatics / U.S. Securities and Exchange Commission / National Academy of Sciences / Institute of Statistical Mathematics / IEEE / Imperial College / Australian National University / University of London / /
Person
Lawrence Murray / Prince / David McGonigle / Amos Storkey / /
Position
research scientist / lecturer / model described / member / /
Product
Cambridge / /
ProvinceOrState
Western Australia / Massachusetts / /
PublishedMedium
Proceedings of the National Academy of Sciences / Machine Learning / Journal of the American Statistical Association / /
Region
Western Australia / /
Technology
Neuroscience / sequential smoothing algorithm / dual-tree algorithm / Magnetic Resonance Imaging / Runge-Kutta algorithm / Condensation / heat transfer / Machine Learning / simulation / medical imaging / /
IEEE TRANSACTIONS ON SIGNAL PROCESSING 1 Particle Smoothing in Continuous Time: A Fast Approach Via Density Estimation