Learning Bayesian networks from data is an N-P hard problem with important practical applications. Several researchers have designed algorithms to overcome the computational comple...
—In next generation wireless networks, not only wide area cells to provide moderate data rate with full mobility but also local area cells to support high data rate with local mo...
This paper presents a framework, integrated into the X3D file format, for the streaming of 3D content in the context of remote scientific visualization; a progressive mesh compres...
Empirical filter designs generalize relationships inferred from training data to effect realistic solutions that conform well to the human visual system. Complex algorithms invol...
Recently, many works have been proposed in the area of cognitive radio to efficiently utilize the spectrum for data communication. However, little effort has been made in content...