Compressive sensing (CS) is a new signal acquisition technique for sparse and compressible signals. Rather than uniformly sampling the signal, CS computes inner products with rand...
In this paper, we propose a hierarchical architecture for grouping peers into clusters in a large-scale BitTorrent-like underlying overlay network in such a way that clusters are e...
Group behaviors, e.g. birds flocking, are widely used in virtual reality, computer games, robotics and artificial life. While many methods to simulate group behaviors have been pr...
Multi-frame motion estimation is a novel technique to improve the video coding efficiency. However, the computational complexity in motion search is usually a bottleneck in the vi...
A hybrid Bayesian Network (BN) is one that incorporates both discrete and continuous nodes. In our extensive applications of BNs for system dependability assessment the models are...
Martin Neil, Manesh Tailor, Norman E. Fenton, Davi...