For brain imaging, 100k was 'the dimensionality of the input' (but also the number of datapoints). This could easily be O(10^6) though with higher res imaging.
I'd check out, for discussion:
https://www.prowler.io/blog/sparse-gps-approximate-the-poste...
For code:
https://github.com/GPflow/GPflow
Based on the people involved knowing what they are talking about, rather than on experience using that particular work.
For brain imaging, 100k was 'the dimensionality of the input' (but also the number of datapoints). This could easily be O(10^6) though with higher res imaging.
I'd check out, for discussion:
https://www.prowler.io/blog/sparse-gps-approximate-the-poste...
For code:
https://github.com/GPflow/GPflow
Based on the people involved knowing what they are talking about, rather than on experience using that particular work.