In this paper, we present a new algorithm for solving the block matching problem which is independent of image content and is faster than other full-search methods. The method emp...
Proximity of query terms in a document is an important criterion in IR. However, no investigation has been made to determine the most useful term sequences for which proximity sho...
Jing Bai, Yi Chang, Hang Cui, Zhaohui Zheng, Gordo...
We propose a novel iterative searching and refining prototype for tagged images. This prototype, named PivotBrowser, captures semantically similar tag sets in a structure called p...
Xiaoyan Li, Lidan Shou, Gang Chen, Xiaolong Zhang,...
This paper describes a kernel based Web Services (abbreviated as service) matching mechanism for service discovery and integration. The matching mechanism tries to exploit the lat...
Yu Jianjun, Guo Shengmin, Su Hao, Zhang Hui, Xu Ke
The contribution of this paper includes three folders: (1) To introduce a topic-oriented query expansion model based on the Information Bottleneck theory that classify terms into ...