Fig. 5. General inverse model for the linear MDM problem.
The lower layer corresponds to one Vm × 1 observation of each input data stream xm, reflecting the different intrinsic dimensionality (Vm) of each dataset. The middle layer represents the Cm sources. The top layer establishes the K subspaces sk, which may be dataset-specific (k = K in the figure) or span through many datasets, illustrating the different compositions permitted.