Existing works in XML keyword search have addressed the problem of finding matching results of a query. However, user input queries always contain irrelevant or mismatched terms, ...
Jiaheng Lu, Zhifeng Bao, Tok Wang Ling, Xiaofeng M...
In this paper, we introduce a Hybrid Hidden Markov Model (HMM) face recognition system. The proposed system contains a low-complexity 2-D HMM-based face recognition (LC 2D-HMM FR)...
Despite the many research efforts invested recently in peerto-peer search engines, none of the proposed system has reached the level of quality and efficiency of their centralized...
Pascal Felber, Toan Luu, Martin Rajman, Etienne Ri...
We consider example-critiquing systems that help people search for their most preferred item in a large catalog. We first analyze how such systems can help users in the framework ...
— We consider the problem of finding the relevant named entities in response to a search query over a given text corpus. Entity search can readily be used to augment conventiona...