"Image processing." . . "Problem solving." . . "Bionics." . . . . . . . . . . . . "Learning a Color Algorithm from Examples"@en . . . . . . . . . . . . "We show that a color algorithm capable of separating illumination from reflectance in a Mondrian world can be learned from a set of examples. The learned algorithm is equivalent to filtering the image data-in which reflectance and illumination are intermixed-through a center-surround receptive field in individual chromatic channels. The operation resembles the retinex algorithm recently proposed by Edwin Land. This result is a specific instance of our earlier result that a standard regularization algorithm can be learned from examples. It illustrates that the natural constraints needed to solve a problem in inverse optics can be extracted directly from a sufficient set of input data and the corresponding solutions. The learning procedure has been implemented as a parallel algorithm on the Connection Machine System."@en . . "Learning a color algorithm from examples"@en . "Color vision." . . "Massachusetts Institute of Technology. Artificial Intelligence Laboratory." . . "Information processing." . . "Learning." . . "MASSACHUSETTS INST OF TECH CAMBRIDGE ARTIFICIAL INTELLIGENCE LAB." . . "Algorithms." . . "Whitaker College. Center for Biological Information Processing." . . "Artificial intelligence." . . "Anatomy and Physiology." . . "Visual perception." . . . . "Computations." . . "Numerical Mathematics." . .