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    How to impose a global parameter smoothness constraint on multiple task regression

    Hello, I have a series of lets say 5 images. At each point of the image stack, I am fitting three parameters, {a0, a1, a2} using the 5 values from the image stack at that point. So for a 100 x 100 pixel image I will get 10,000 different sets of parameters, {a0,a1,a2}. From the physics of...