Abstract. Multiple-instance learning (MIL) allows for training classifiers from ambiguously labeled data. In computer vision, this learning paradigm has been recently used in many ...
We envision a new better-together mobile application paradigm where multiple mobile devices are placed in a close proximity and study a specific together-viewing video application...
Target tracking is an important application of wireless sensor networks. In this application, the sensor nodes collectively monitor and track the movement of an event or target ob...
Buildings are known to be the largest consumers of electricity in the United States, and often times the dominant energy consumer is the HVAC system. Despite this fact, in most bu...
Synchronous dataflow (SDF) has been successfully used in design tools for system-level simulation of wireless communication systems. Modern wireless communication standards involv...