Missing link prediction of networks is of both theoretical interest and practical significance in modern science. In this paper, we empirically investigate a simple framework of link prediction on the basis of node similarity. We compare nine well-known local similarity measures on six real networks. The results indicate that the simplest measure, namely common neighbors, has the best overall p...

Stochastic mechanics is regarded as a physical theory to explain quantum with classical terms such that some of the paradoxes can be avoided. Here we propose new variational principle uncover more insights on stochastic mechanics. According this principle, information measures, relative entropy and Fisher information, are imposed constraints top least action principle. This not only recovers Ne...

This paper presents a technique to estimate missing depth information obtained from the Microsoft Kinect. Due to the limitations of the depth sensing technology used by the Kinect, a significant loss and noise incurs when capturing depth information. The paper describes the steps needed to go from raw depth, as captured by Kinect, to a point cloud representation of the recovered missing data. O...