In digital image processing, the pixels of a " white noise image " are typically arranged in a rectangular grid, and are assumed to be independent random variables with uniform probability distribution over some interval.
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Here, " blind search " means that at each step of the algorithm, the element v \ in V is chosen at random with uniform probability distribution from the elements of V that have not been chosen previously.
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We also note that, if the equation shown above converges, we can replace the initial vector \ bar c _ { i } by a vector \ bar e that is an m-vector representing uniform probability distribution over all m peers.
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The process is generally initialized with a uniform probability distribution over the rotamers that is, if there are p rotamers at the kth position in the protein, then the probability of any individual rotamer r _ { k } ^ { A } is 1 / p.
