High-dimensional problems arising from robot motion planning, biology, data mining, and geographic information systems often require the computation of k nearest neighbor (knn) gr...
We propose a dynamic faceted search system for discoverydriven analysis on data with both textual content and structured attributes. From a keyword query, we want to dynamically s...
Debabrata Dash, Jun Rao, Nimrod Megiddo, Anastasia...
Abstract. Comparison of images requires a distance metric that is sensitive to the spatial location of objects and features. Such sensitive distance measures can, however, be compu...
In many database applications involving string data, it is common to have near neighbor queries (asking for strings that are similar to a query string) or nearest neighbor queries...
Abstract. We present a trust model extension that attempts to relax the assumptions that are currently taken by the majority of existing trust models: (i) proven identity of agents...