Almost methods in embedded software modeling take software architecture as one of the crucial parts of the design process. Since a principal role of embedded software is the inter...
Mixtures of Gaussians are a crucial statistical modeling tool at the heart of many challenging applications in computer vision and machine learning. In this paper, we first descri...
Background: The Generalized Hidden Markov Model (GHMM) has proven a useful framework for the task of computational gene prediction in eukaryotic genomes, due to its flexibility an...
William H. Majoros, Mihaela Pertea, Arthur L. Delc...
The RM-ODP standard still provides the only comprehensive and coherent framework of concepts for the specification of complex large scale IT systems, and has taken on a new signif...
Inherent complexity of the e-Government application domain is also reflected in the workflows of e-Government service provision. This paper reports on how some real examples e-Gove...