Mean shift clustering is a powerful unsupervised data
analysis technique which does not require prior knowledge
of the number of clusters, and does not constrain the shape
of th...
Dynamic Bayesian networks are structured representations of stochastic processes. Despite their structure, exact inference in DBNs is generally intractable. One approach to approx...
Abstract This work studies the properties of finite automata recognizing vectors with real components, encoded positionally in a given integer numeration base. Such automata are us...
With the large number of Websites promoting the use of illicit drugs, it has become important to screen these sites for the protection of children on the Internet. Conventional ke...
J. Z. Wang, Nianhua Xie, Weiming Hu, Xi Li, Xiaoqi...