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STOCHASTIC LEARNING OF FRACTAL IMAGES
Preview AbstractOptimal compression and decompression of fractal images can be performed by out-of-equilibrium stochastic systems which exhibit a learning behaviour. We show how stochastic systems of this type are able to learn the structure of classical fractal images in a simple situation.