Parallel distributed detection of an invariant feature associated with self-similar patterns
A parallel distributed scheme is presented for extracting a computable feature associated with self similar patterns. Observed patterns are assumed to be specified in terms of a set of contraction mappings that evokes an ''avalanche of exploration'' in image field. This intrinsically non-deterministic imaging process yields a conditional probability that is represented on a diffusion system. For identifying mapping set, a parallel projection algorithm is designed on a computable set of local minimums of the conditional distribution. The scheme is applied to dynamic detection of fractal patterns.
invariant feature self-similar pattern parallel distributed scheme diffusion system pattern coding