This paper presents a cluster-based text categorization system which uses class distributional clustering of words. We propose a new clustering model which considers the global in...
Spatial language video retrieval is an important real-world problem that is also a natural test bed for evaluating semantic structures for natural language descriptions of motion ...
This paper presents a Japanese information retrieval method using the dependency relationship between words and semantic and statistical information about them. Our method gives a...
Image annotations allow users to access a large image database with textual queries. There have been several studies on automatic image annotation utilizing machine learning techn...
In this paper we propose a new General Image DataBase (GIDB) model. The model establishes taxonomy based on the systematisation of existing approaches. The GIDB model is based on t...