Abstract: Multimedia databases are increasingly common in science, business, entertainment and many other applications. Their size and high dimensionality of features are major cha...
In many domains there are specific attributes in documents that carry more weight than the general words in the document. This paper proposes the use of information extraction tec...
In this paper, we present a context framework that facilitates the development and deployment of context-aware adaptable Web services. Web services are provided with context infor...
We have evaluated an adaptive hypermedia system, PUSH, and compared it to a non-adaptive variant of the same system. Based on an inferred information-seeking task, PUSH chooses wh...
The learning-enhanced relevance feedback has been one of the most active research areas in content-based image retrieval in recent years. However, few methods using the relevance ...