Partitioned query processing is an effective method to process continuous queries with large stateful operators in a distributed systems. This method typically partitions input da...
MapReduce is a computing paradigm that has gained a lot of popularity as it allows non-expert users to easily run complex analytical tasks at very large-scale. At such scale, task...
Hadoop has become an attractive platform for large-scale data analytics. In this paper, we identify a major performance bottleneck of Hadoop: its lack of ability to colocate relat...
Recent progress of computer and network technologies makes it possible to store and retrieve a large volume of multimedia data in many applications. In such applications, efficien...
We propose a multi-resolution framework inspired by human visual search for general object detection. Different resolutions are represented using a coarse-to-fine feature hierarch...
Wei Zhang 0002, Gregory J. Zelinsky, Dimitris Sama...