Spatial and temporal data are critical components in many applications. This is especially true in analytical domains such as national security and criminal investigation. Often, t...
Matthew Perry, Amit P. Sheth, Farshad Hakimpour, P...
Abstract. Low-power design became crucial with the widespread use of the embedded systems, where a small battery has to last for a long period. The embedded processors need to ef...
Optical burst switching (OBS) has been proposed as the next generation optical network for grid computing. In this paper, we envision a heterogeneous Grid served by an Optical Burs...
Local features have proven very useful for recognition.
Manifold learning has proven to be a very powerful tool in
data analysis. However, manifold learning application for
imag...
Structural Statistical Software Testing (SSST) exploits the control flow graph of the program being tested to construct test cases. Specifically, SSST exploits the feasible paths...