In vision, it is very common to solve linear systems of the…
In vision, it is very common to solve linear systems of the form A · X = 0, with A ∈ IRn×m contains known values and X ∈ IRm is a vector of parameters, with n >> m. They are solved by minimizing ||A · X|| such that ||X|| = 1. Why not use a standard regression formula with the pseudo-inverse instead?
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