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Weight distributions. Distributions of weights estimated by solving (a)–(d) the least-norm problem, (e)–(h) the Tikhonov-regularized least-squares problem, (i)–(l) the non-negative least-squares problem, and (m)–(p) the sparse representation problem for both anisotropic (two crossing fiber populations) and isotropic signal profiles. Even though the same set of tensor DBFs is used, the estimated weights vary vastly with the method used for weight estimation.
