Computer users deal with large amount of personal media data and they often face problems in managing and exploring them. The paper presents an innovative approach, Semantic Regio...
This work explores full registration of scenes in a large area purely based images for city indexing and visualization. Ground-based images including route panoramas, scene tunnels...
In this research, a systematic study is conducted of four dimension reduction techniques for the text clustering problem, using five benchmark data sets. Of the four methods -- Ind...
Bin Tang, Michael A. Shepherd, Malcolm I. Heywood,...
In itself, the continuous exponential increase of the data-warehouses size does not necessarily lead to a richer and finer-grained information since the processing capabilities d...
In this paper, we describe a new paradigm for information retrieval in which the retrieval target is based on a model. Three types of models – linear, finite state, and knowledg...
Chung-Sheng Li, Yuan-Chi Chang, Lawrence D. Bergma...