Toke Jansen Hansen
My PhD project entitled "Large Scale Machine Learning in High Dimensional Datasets", is supervised by Professor Lars Kai Hansen, IMM, DTU.
My research interests include machine learning in general, e.g., bayesian statistics, kernel methods and spectral clustering, as well as general signal processing. I'm an implementation specialist with a background in computer science, mastering both functional and imperative languages, especially enjoying concurrent and distributed paradigms, including GPU computing.
Finally, from an application point of view, I apply all of these methodologies in the context of real-time fMRI to improve the understanding of the human mind.
- Accepted/In press
Publication: Research - peer-review › Journal article – Annual report year: 2015
Publication: Research - peer-review › Journal article – Annual report year: 2014
Publication: Research - peer-review › Article in proceedings – Annual report year: 2013
ISSNs: 1533-7928, 1532-4435, 1533-7928, 15324435, 1533-7928
ISSNs (Electronic): 1533-7928, 1532-4435
M I T Press, United States
BFI (2015): BFI-level 2, ISI indexed (2013): ISI indexed no
ISSNs: 0167-8655, 01678655
ISSNs (Electronic): 1872-7344
Elsevier BV North-Holland, Netherlands
BFI (2015): BFI-level 2, ISI indexed (2013): ISI indexed yes
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