SELP: A general-purpose framework for learning the norms from saliencies in spatiotemporal data

Sensors that monitor around the clock are everywhere. Due to the sheer amount of data these sensors can generate, the resources required to store, protect personal information, and analyze them are enormous. Since noteworthy events happen only occasionally, it is not necessary to store or analyze the data generated at every instant of time. Rather, it is imperative for a smart memory to learn the norms in such data so that only the abnormal (or...