Yeah. Yeah. Mm - hmm.
So there 's a very high correlation. So the classifiers which use the diagonal covariance matrix don't like it. So we 're thinking about de - correlating them.
Hmm.
Then the question is uh " can you describe elements of this vector by Gaussian distributions " , or to what extent ? Because uh  And  and  and so on and so on. So we are learning quite a lot about that. And then another issue is how many vectors we should be using ,