Mm - hmm. Mm - hmm.
If you have a trained  trained recognizer , in the model , you know the  the  the  the component which  I  I mean di dimension  wh
Mm - hmm. All of the  all of the mean and variances that correspond to C - one , you put them to zero.
To the s you  you know it. But what I 'm proposing now , if it is important but not as important , you multiply it by point one in a model.