In this paper, we present a Gaussian mixture model based approach to capture the spatial characteristics of any target signal in a sensor network, and further propose a temporally...
In this paper we propose a new probabilistic relaxation framework to perform robust multiple motion estimation and segmentation from a sequence of images. Our approach uses displa...
We consider a firm that faces random demand and receives product from a single supplier who faces random supply. The supplier's availability may be affected by events such as...
The emergence of large-scale distributed applications based on many-to-many communication models, e.g., broadcast and decentralized group communication, has an important impact on ...
In this paper we propose a novel three phase route recovery mechanism for routing over switched single beam directional antennas. We enhance the popular Dynamic Source Routing (DS...
Tarun Joshi, Hrishikesh Gossain, Carlos de M. Cord...