We study the problem of learning to rank images for image retrieval. For a noisy set of images indexed or tagged by the same keyword, we learn a ranking model from some training e...
An efficient indexing method is essential for content-based image retrieval with the exponential growth in large-scale videos and photos. Recently, hash-based methods (e.g., local...
Abstract—Feature extraction is a key issue in contentbased image retrieval (CBIR). In the past, a number of texture features have been proposed in literature, including statistic...
Documents, especially long ones, may contain very diverse passages related to different topics. Passages Retrieval approaches have shown that, in most cases, there is a great pote...
Sylvain Lamprier, Tassadit Amghar, Bernard Levrat,...
Retrieval queries that combine structural constraints with keyword search represent a significant challenge to XML data management systems. Queries are expected to be answered as...
Mariano P. Consens, Xin Gu, Yaron Kanza, Flavio Ri...