We address the problem of scale selection in texture analysis. Two di erent scale parameters, feature scale and statistical scale, are dened. Statistical scale is the size of the r...
We are developing an Intelligent Network News Reader which extracts news articles for users. In contrast to ordinary information retrieval and abstract generation, this method uti...
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...
Classification of brain images obtained through functional magnetic resonance imaging (fMRI) poses a serious challenge to pattern recognition and machine learning due to the extrem...
We describe an algorithm for similar-image search which
is designed to be efficient for extremely large collections of
images. For each query, a small response set is selected by...
Lorenzo Torresani (Dartmouth College), Martin Szum...