In content-based image retrieval (CBIR), relevant images are identified based on their similarities to query images. Most CBIR algorithms are hindered by the semantic gap between ...
Luo Si, Rong Jin, Steven C. H. Hoi, Michael R. Lyu
Retrieving relevant information in Data and Knowledge Bases containing a large number of di erent types of information is a non trivial problem. That is the reason why, in areas l...
Abstract. Web portal software is relatively easy to set up and populate from the perspective of the end-user, but it leaves the back-end database devoid of subject domain semantics...
C. Maria Keet, Ronell Alberts, Aurona Gerber, Gibs...
Statistical language modeling has been successfully used for speech recognition, part-of-speech tagging, and syntactic parsing. Recently, it has also been applied to information r...
The paper presents our design of a next generation information retrieval system based on tag co-occurrences and subsequent clustering. We help users getting access to digital data...
Kathrin Knautz, Simone Soubusta, Wolfgang G. Stock