Abstract
Dynamic link architecture is self-organizing map applied to image recognition. Mapping formed from data image to sample image. It tends to link two points which have similar local features, and so, can be distorted to some extent. Similarity of two images is evaluated after transforming data image by the mapping. Thus, dynamic link architecture is tolerant to distortion or rotation of data images. We propose a mathematically tractable model of dynamic link architecture, and reduced it to simple phase dynamics, which clearly shows how the model restores rotated data images. Computer simulations verify the theory.
