Despite the 2984's lackluster success, IBM moved on. I don't think IBM was
And so Bruton came up with an intricate system of motors and gears, to function as servos, moving parts whose position can be monitored and controlled.
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Instead of taking the nearest candidates to , we can look for a set of candidates whose centroid is close to . The N-convex algorithm works by finding the closest colour to a given target colour for iterations, where the target is first initialised to be equal to the input pixel. Every iteration the closest colour added to the candidate list, and the quantisation error between it and the original input pixel is added to the target.