A novel breadth-first based structural clustering method for graphs is proposed. Clustering is an important task for analyzing complex networks such as biological networks, World ...
The large-granularity Web services are a new form of Web services. In contrast to the traditional Web services, they often have more interfaces, encapsulate more complex business ...
We prove the statistical consistency of kernel Partial Least Squares Regression applied to a bounded regression learning problem on a reproducing kernel Hilbert space. Partial Lea...
Node capture is considered as one of the most critical issues in the security of wireless sensor networks. A popular approach to thwart the problem relies on the detection of event...
We introduce Coherent Point Drift (CPD), a novel probabilistic method for nonrigid registration of point sets. The registration is treated as a Maximum Likelihood (ML) estimation ...