In a sensor network information from multiple nodes must usually be aggregated in order to accomplish a certain task. A natural way to view this information gathering is in terms o...
Stefan Funke, Leonidas J. Guibas, An Nguyen, Yusu ...
This perspective paper explores principles of unsupervised learning and how they relate to face recognition. Dependency coding and information maximization appear to be central pr...
An open problem in Simultaneous Localization and Mapping (SLAM) is the development of algorithms which scale with the size of the environment. A few promising methods exploit the ...
— “Word-of-Mouth”, a novel scheme for sharing the service quality experienced with different local networks, is presented and evaluated as a distributed solution for performi...
There has been a recent resurgence of interest in research on noisy and incomplete data. Many applications require information to be recovered from such data. For example, in sens...
Junyi Xie, Jun Yang 0001, Yuguo Chen, Haixun Wang,...