We address the challenge of semantic gap reduction for image retrieval through an improved SVM-based active relevance feedback framework, together with a hybrid visual and concept...
An increasing number of applications operate on data obtained from the Web. These applications typically maintain local copies of the web data to avoid network latency in data acc...
In this paper, we propose a transductive learning method for content-based image retrieval: Multiple Random Walk (MRW). Its basic idea is to construct two generative models by mea...
Dataspace management has been recently identified as a new agenda for information management [17, 22] and information integration [23]. In sharp contrast to standard information ...
Marcos Antonio Vaz Salles, Jens-Peter Dittrich, Sh...
Loosely structured heterogeneous information spaces are typically created by merging data from a variety of different applications and information sources. A common problem these...
Ekaterini Ioannou, Saket Sathe, Nicolas Bonvin, An...