In this paper, we explore the concept of a "library of brain images", which implies not only a repository of brain images, but also efficient search and retrieval mechan...
Bing Bai, Paul B. Kantor, Nicu D. Cornea, Deborah ...
We present an original approach for motion-based retrieval involving partial query. More precisely, we propose an uni ed statistical framework both to extract entities of interest ...
This paper presents the UESTC contribution to the ImageCLEF 2010 medical retrieval task. For ad-hoc retrieval and case-based retrieval, we only use text information, and propose a ...
The retrieval of similar documents from large scale datasets has been the one of the main concerns in knowledge management environments, such as plagiarism detection, news impact a...
Felipe Bravo-Marquez, Gaston L'Huillier, Sebasti&a...
We study the problem of context-sensitive ranking for document retrieval, where a context is defined as a sub-collection of documents, and is specified by queries provided by do...