We present a two-stage method for obtaining both phase and object estimates from phase-diversity time series data. In the first stage, the phases are estimated for each time frame...
Fast MR imaging techniques often exploit the redundancy present in an underlying MR image time series to compensate for k-space undersampling. When imaging motion using techniques...
Harsh K. Agarwal, Khaled Z. Abd-Elmoniem, Jerry L....
Time series are an important type of data with applications in virtually every aspect of the real world. Often a large number of time series have to be monitored and analyzed in p...
Ming C. Hao, Umeshwar Dayal, Daniel A. Keim, Tobia...
Visual sensors provide exclusively uncertain and partial knowledge of a scene. In this article, we present a suitable scene knowledge representation that makes integration and fusi...
Abstract. Massive data streams of positional updates become increasingly difficult to manage under limited memory resources, especially in terms of providing near real-time respons...
Michalis Potamias, Kostas Patroumpas, Timos K. Sel...