This paper introduces the concept of a critical backbone as a minimal set of variables or part of the solution necessary to be within the basin of attraction of the global optimum...
Bayesian Networks are today used in various fields and domains due to their inherent ability to deal with uncertainty. Learning Bayesian Networks, however is an NP-Hard task [7]....
Collaborative signal processing is one of the most promising applications that are currently being investigated for sensor networks. In this paper, we use FFT computation as a veh...
This paper proposes a condition-based algorithm for H.264/AVC 4x4 intra prediction. Exploiting high correlation existed in neighboring intra prediction modes, we propose the three...
Approximate string matching problem is a common and often repeated task in information retrieval and bioinformatics. This paper proposes a generic design of a programmable array p...
Panagiotis D. Michailidis, Konstantinos G. Margari...