Abstract
It is expected that the need for softwae agents for automatic matching and extraction ofdigital images flowing in multi-media networks.Image consists of multiple patterns. It is effective to distinguish vague patterns by interactions with multiple symbols. These symbols correspond to multiple meanings ofpatterns, and the interactions among patterns and symbols can determine meanings of patterns.This paper presents a multi-module network for the inference of a meaning of a combination of vague patterns with multiple meanings through interactions between symbols and patterns. This paper also proposes an attention mechanisms for this multi-module network. Experiments on association of facial expressions consisting of eyebrows, eyes, and mouths are done to show feasibility of the proposed network.
