We address the applicability of blind source separation (BSS) methods for the estimation of hidden influences in biological dynamic systems such as metabolic or gene regulatory net...
— With growing amount of data gathered nowadays, the need for efficient data mining methodologies is getting more and more common. There is a large number of different classifi...
The emerging service grids bring together various distributed services to a ‘market’ for clients to request and enable the integration of services across distributed, heteroge...
?This paper presents a computational paradigm called Data-Driven Markov Chain Monte Carlo (DDMCMC) for image segmentation in the Bayesian statistical framework. The paper contribut...
Debugging, testing, and profiling microcontroller programs are notoriously difficult. The lack of supporting software such as an operating system, a narrow interface to the hard...