Although the processing of data streams has been the focus of many research efforts in several areas, the case of remotely sensed streams in scientific contexts has received less...
Ideally pattern recognition machines provide constant output when the inputs are transformed under a group G of desired invariances. These invariances can be achieved by enhancing...
An overview of previous approaches to the visualisation of uncertainty is presented making the distinction between verity visualisation, where the uncertainty information is an in...
Recently, emerging high performance applications require the ability to exploit diverse, geographically distributed resources, specifically, in a Grid environment. A collection of ...
Efficiently detecting outliers or anomalies is an important problem in many areas of science, medicine and information technology. Applications range from data cleaning to clinica...
Matthew Eric Otey, Amol Ghoting, Srinivasan Partha...