Understanding how people interact with search engines is important in improving search quality. Web search engines typically analyze queries and clicked results, but these actions...
This paper introduces a composite learning approach for image retrieval with relevance feedback. The proposed system combines the radial basis function (RBF) based lowlevel learni...
urgent need to promote Chinese in this paper we will raise the significance of keyword extraction using a new PAT-treebased approach, which is efficient in automatic keyword extra...
Despite the recent advances in search quality, the fast increase in the size of the Web collection has introduced new challenges for Web ranking algorithms. In fact, there are sti...
Bruno M. Fonseca, Paulo Braz Golgher, Bruno P&ocir...
In this paper, we propose a novel transductive learning framework named manifold-ranking based image retrieval (MRBIR). Given a query image, MRBIR first makes use of a manifold ra...