This paper develops and analyzes distributed search techniques for use in a peer-to-peer (P2P) network-based Information Retrieval (IR) system. In the absence of a centralized med...
Haizheng Zhang, W. Bruce Croft, Brian Neil Levine,...
In order to meet the overwhelming demands of content retrieval for mobile end users, a novel architecture for the next-generation Internet called Cache-and-Forward (CNF) has been p...
Lijun Dong, Dan Zhang, Yanyong Zhang, Dipankar Ray...
Though millions of images are stored in a large digital image library today, the user can not access or make full use of these image information unless the digital image library i...
Patrick Shen-Pei Wang, Xinge You, Yuan Yan Tang, Y...
This paper describes Pinview, a content-based image retrieval system that exploits implicit relevance feedback during a search session. Pinview contains several novel methods that...
Peter Auer, Zakria Hussain, Samuel Kaski, Arto Kla...
Motivated by the need to efficiently leverage user relevance feedback in content-based retrieval from image databases, we propose a fast, clustering-based indexing technique for e...