Change-point detection is the problem of discovering time points at which properties of time-series data change. This covers a broad range of real-world problems and has been acti...
In this paper, we investigate and utilize the characteristic of the group movement of objects to achieve energy conservation in the inherently resource-constrained wireless object ...
Since sensor data gathering is the primary functionality of sensor networks, it is important to provide a fault tolerant method for reasoning about sensed events in the face of ar...
Mark D. Krasniewski, Padma Varadharajan, Bryan Rab...
For a large object, scanning from the air is one of the most efficient methods of obtaining 3D data. But in the case of large cultural heritage objects, there are some difficultie...
In recent years, there have been some interesting studies on predictive modeling in data streams. However, most such studies assume relatively balanced and stable data streams but...