Date: 09 Jun 2005

A layered recurrent neural network for feature grouping

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We describe a recurrent network, the Competitive Layer Model (CLM) for feature grouping. The model uses a combination of cooperative and competitive interactions to partition a set of input features into salient groups whose number is only restricted by the available layers. We give analytic results on convergence and the attractor states of the model and present simulation results showing grouping by proximity and grouping by symmetry and good continuation.