Relevance feedback is a powerful query modification technique in the field of content-based image retrieval. The key issue in relevance feedback is how to effectively utilize the ...
This paper advocated the use of ontology-supported website models to provide a semantic level solution for an information agent so that it can provide fast, precise, and stable que...
This paper describes our novel retrieval model that is based on contexts of query terms in documents (i.e., document contexts). Our model is novel because it explicitly takes into...
Ho Chung Wu, Robert W. P. Luk, Kam-Fai Wong, K. L....
Many recommendation and retrieval tasks can be represented as proximity queries on a labeled directed graph, with typed nodes representing documents, terms, and metadata, and labe...
In this paper, we propose a novel area of research referred to as singing information processing. To shape the concept of this area, we first introduce singing understanding syst...