Auto-calibration is the recovery of the full camera geometry and Euclidean scene structure from several images of an unknown 3D scene, using rigidity constraints and partial knowl...
The goal of secure multiparty computation is to transform a given protocol involving a trusted party into a protocol without need for the trusted party, by simulating the party am...
The naive Bayesian classifier provides a simple and effective approach to classifier learning, but its attribute independence assumption is often violated in the real world. A numb...
Abstract This paper deals with automating the drawing of subway maps. There are two features of schematic subway maps that make them different from drawings of other networks such...
The number and size of information services available on the internet has been growing exponentially over the past few years. This growth has created an urgent need for information...