We introduce dynamic correlated topic models (DCTM) for analyzing discrete data over time. This model is inspired by the hierarchical Gaussian process latent variable models (GP-L...
The flexible integration of a range of disparate IT applications is a key requirement for today's global enterprises. The virtual enterprise, formed by a collection of collab...
Background: Many classification approaches have been applied to analyzing transcriptional regulation of gene expressions. These methods build models that can explain a gene's...
In this paper, we present a new deformable model — 2.5D Active Contour— that is capable of directly extracting shape geometry from 3D unorganized point cloud datasets. The rec...
: The next generation of scientific experiments and studies, popularly called e-Science, is carried out by large collaborations of researchers distributed around the world engaged ...
Srikumar Venugopal, Rajkumar Buyya, Lyle J. Winton