Markov Random Field (MRF) models with potentials learned from the data have recently received attention for learning the low-level structure of natural images. A MRF provides a pri...
Limiting capabilities of practical recognition systems are determined by a variety of factors that include source encoding techniques, quality of images, complexity of underlying ...
Bayesian Networks are proven to be a comprehensive model to describe causal relationships among domain attributes with probabilistic measure of conditional dependency. However, dep...
act The strategic use of technology based information systems (IS/IT) is a fundamental issue for every business. This is particularly true in the case of firms that engage in inter...
When information services are organized to provide some composed functionality, their interactions can be formally represented as workflows. Traditionally, workflows are executed...