We present STAR, a self-tuning algorithm that adaptively sets numeric precision constraints to accurately and efficiently answer continuous aggregate queries over distributed data...
Navendu Jain, Michael Dahlin, Yin Zhang, Dmitry Ki...
Block-level sampling is far more efficient than true uniform-random sampling over a large database, but prone to significant errors if used to create database statistics. In this ...
—Location information should be verifiable in order to support new computing and information services. In this paper, we adapt the classical challenge-response method for authen...
Abstract. Most existing methods for determining localization of the image feature point are still inefficient in terms of the precision. In the paper, we propose a new algorithm fo...
Recent development of Wireless Sensor Networks (WSN) has led to the appearance of many application specific communication protocols which must be energy-efficient. Among those pro...