Before proceeding to training details, we first discuss how we characterize the noise level of the data by controlling the trace of its transition matrix.
since the global transition matrix only captures the global noise pattern, it fails to characterize individuals with subtle differences, resulting in a performance drop compared to the dynamic one ( TM).