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When a robot provides intelligent services, it needs to obtain a semantic map of the complex environment. The robot’s vision is commonly used to obtain the semantic concepts and relations of objects and rooms in indoor environments, which are labeled semantic information on the map. In an actual indoor environment, because of the great variety of objects and complex arrangements, a key problem is...
This paper presents a part-of-speech tagging method based on a min-max modular neural-network model. The method has three main steps. First, a large-scale tagging problem is decomposed into a number of relatively smaller and simpler subproblems according to the class relations among a given training corpus. Secondly, all of the subproblems are learned by smaller network modules in parallel. Finally,...
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