This paper describes a case study that uses clustering to group classes of an existing objectoriented system of significant size into subsystems. The clustering process is based o...
We propose a highly efficient framework for penalized likelihood kernel methods applied to multiclass models with a large, structured set of classes. As opposed to many previous a...
A generalized or tunable-kernel model is proposed for probability density function estimation based on an orthogonal forward regression procedure. Each stage of the density estimat...
Stream processors are high-performance programmable processors optimized to run media applications. Recent work has shown these processors to be more area- and energy-efficient th...
Brucek Khailany, William J. Dally, Scott Rixner, U...
The clustering-based approach for detecting abnormalities in surveillance video requires the appropriate definition of similarity between events. The HMM-based similarity defined ...