This paper describes an unsupervised learning technique for modeling human locomotion styles, such as distinct related activities (e.g. running and striding) or variations of the ...
Model-based segmentation approaches, such as those employing Active Shape Models (ASMs), have proved to be useful for medical image segmentation and understanding. To build the mo...
In this paper we explore the use of a set of novel design metrics for characterizing the impact of gate oxide tunneling current in nanometer CMOS devices and perform Monte Carlo s...
Segmentation of 3D human body is a very challenging problem in applications exploiting human scan data. To tackle this problem, this paper proposes a topological approach based on...
Abstract— Gate leakage (direct tunneling current for sub65nm CMOS) can severely affect both the transient and steady state behaviors of CMOS circuits. In this paper we quantify t...