We present novel intelligent tools for mining 3D medical images. We focus on detecting discriminative Regions of Interest (ROIs) and mining associations between their spatial distr...
To recover depth from images, the human visual system uses many monocular depth cues, which vision research has only begun to explore. Because a given image can have many possible...
We present a novel approach to remote traffic aggregation for Network Intrusion Detection Systems (NIDS) called Cooperative Selective Wormholing (CSW). Our approach works by select...
—Recognition of document images having Greek polytonic (multi accent) characters is a challenging task due the large number of existing character classes (more than 270). In this...
This paper describes an efficient pedestrian detection system for videos acquired from moving platforms. Given a detected and tracked object as a sequence of images within a bound...
Yang Ran, Qinfen Zheng, Isaac Weiss, Larry S. Davi...