Thus, the latent descriptors consist of the leftword and right-word contexts (recall that these are given by matrices L and R), mapped into left-label and right-label contexts through multiplication by the assignment matrix P, and scaled to unit length: With these latent descriptors in hand, we proceed with the M phase of the algorithm as usual.
the left mean µ L k for Gaussian k is the weighted average of the left latent descriptors L P (w), scaled to unit length.