In this paper, we propose a novel approach of image annotation by constructing a hierarchical mapping between lowlevel visual features and text features utilizing the relations wi...
The aim of this study is to investigate whether element retrieval (as opposed to full-text retrieval) is meaningful and useful for searchers when carrying out information-seeking ...
In this paper we introduce a probabilistic framework to exploit hierarchy, structure sharing and duration information for topic transition detection in videos. Our probabilistic d...
Dinh Q. Phung, Thi V. Duong, Svetha Venkatesh, Hun...
Abstract. This paper describes a new technique for the direct translation of character n-grams for use in Cross-Language Information Retrieval systems. This solution avoids the nee...
This paper discusses a new type of semi-supervised document clustering that uses partial supervision to partition a large set of documents. Most clustering methods organizes docum...