Support vector clustering transforms the data into a high dimensional feature space, where a decision function is computed. In the original space, the function outlines the bounda...
We consider the problem of image representation and clustering. Traditionally, an n1 × n2 image is represented by a vector in the Euclidean space Rn1×n2 . Some learning algorith...
This paper explores the relation between the structured parallelism exposed by the Decomposable BSP (DBSP) model through submachine locality and locality of reference in multi-lev...
Andrea Pietracaprina, Geppino Pucci, Francesco Sil...
In semistructured databases there is no schema fixed in advance. To provide the benefits of a schema in such environments, we introduce DataGuides: concise and accurate structural...
We study the optimization of the expected number of bytes that must be transferred by the Web server when a user visits one of its pages. Given a Web site, we want to find an assi...
Evangelos Kranakis, Danny Krizanc, Miguel Vargas M...