Document representation and indexing is a key problem for document analysis and processing, such as clustering, classification and retrieval. Conventionally, Latent Semantic Index...
This paper studies global ranking problem by learning to rank methods. Conventional learning to rank methods are usually designed for `local ranking', in the sense that the r...
Tao Qin, Tie-Yan Liu, Xu-Dong Zhang, De-Sheng Wang...
Learning application-specific distance metrics from labeled data is critical for both statistical classification and information retrieval. Most of the earlier work in this area h...
While the explosion of on-line information has brought new opportunities for nding and using electronic data, it has also brought to the forefront the problem of isolating useful ...
Robin D. Burke, Kristian J. Hammond, Benjamin C. Y...
In this paper we consider a distributed and efficient information dissemination and retrieval system for wireless sensor networks. In such a system each sensor node operates auton...