Abstract. We propose a novel model-based approach to activity recognition using high-level primitives that are derived from a human body model estimated from sensor data. Using sho...
We address continuously processing an aggregation join query over data streams. Queries of this type involve both join and aggregation operations, with windows specified on join ...
One of the main challenges with selective search extensions is designing effective move categories (features). This is a manual trial and error task, which requires both intuition...
The massive, ever-growing literature in life science makes it increasingly difficult for individuals to grasp all the information relevant to their interests. Since even experts’...
We present a mining system that can predict the future health status of the patient using the temporal trajectories of health status of a set of similar patients. The main noveltie...