Clustering is a prominent method in the data mining field. It is a discovery process that groups data such that intra cluster similarity is maximized and the inter cluster similar...
There has been significant recent interest in sparse metric learning (SML) in which we simultaneously learn both a good distance metric and a low-dimensional representation. Unfor...
Today’s Web browsers allow users to open links in new windows or tabs. This action, which we call ‘branching’, is sometimes performed on search results when the user plans t...
On-Line Analytical Processing (OLAP) is a trend in database technology, based on the multidimensional view of data. In this paper we introduce the Cube Presentation Model (CPM), a ...
Andreas S. Maniatis, Panos Vassiliadis, Spiros Ski...
The problem of similarity search (query-by-content) has attracted much research interest. It is a difficult problem because of the inherently high dimensionality of the data. The ...