In this paper, a novel method to learn the intrinsic object structure for robust visual tracking is proposed. The basic assumption is that the parameterized object state lies on a...
We propose a competitive finite mixture of neurons (or perceptrons) for solving binary classification problems. Our classifier includes a prior for the weights between different n...
Karthik Sridharan, Matthew J. Beal, Venu Govindara...
In this paper, we study the problem of retiming of sequential circuits with both interconnect and gate delay. Most retiming algorithms have assumed ideal conditions for the non-lo...
Chris C. N. Chu, Evangeline F. Y. Young, Dennis K....
Abstract— Particle Filters have been widely used as a powerful optimization tool for nonlinear, non-Gaussian dynamic models such as Simultaneous Localization and Mapping (SLAM) a...
Abstract— Controlling the topology of a wireless ad hoc network is very important from the point of view of performance. One known technique for controlling the topology is throu...