A neural network for invariant pattern recognition.
We consider the problem of recognizing a shifted and distorted 2-dimensional shape. This task is formalized as a problem of labelled graph matching. To solve this problem, we construct an energy function similar to the one used in a previous paper for solving the subgraph retrieval problem. We present a neuronal model for invariant pattern recognition, based on this solution to subgraph retrieval and graph matching.