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...
Locality-Sensitive Hashing (LSH) and its variants are wellknown methods for solving the c-approximate NN Search problem in high-dimensional space. Traditionally, several LSH funct...
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...
People often use powerful tools to manage the documents they encounter, but very rarely to store the mental knowledge they glean from those documents. Popcorn is a personal knowle...
Stephen Davies, Scotty Allen, Jon Raphaelson, Emil...
Querying and integrating sources of structured data from the Web in most cases requires similarity-based concepts to deal with data level conflicts. This is due to the often errone...