Systems based on statistical and machine learning methods have been shown to be extremely effective and scalable for the analysis of large amount of textual data. However, in the r...
In this effort, a data-driven and application independent technique to combine focal information from different focal planes is presented. Input images, acquired by imaging system...
Harishwaran Hariharan, Andreas Koschan, Mongi A. A...
We describe a query-driven indexing framework for scalable text retrieval over structured P2P networks. To cope with the bandwidth consumption problem that has been identified as ...
Gleb Skobeltsyn, Toan Luu, Karl Aberer, Martin Raj...
In this short note we present a recommendation system for automatic retrieval of broken Web links using an approach based on contextual information. We extract information from th...
Abstract. This paper presents an approach for image annotation propagation to images which have no annotations. In some specific domains, the assumption that visual similarity impl...
Jean-Pierre Chevallet, Nicolas Maillot, Joo-Hwee L...