This study develops a least squares support vector machines (LS-SVM) based model for bivariate process to diagnose abnormal patterns of process mean vector, and to help identify a...
A central problem in the analysis of motion capture (Mo-
Cap) data is how to decompose motion sequences into primitives.
Ideally, a description in terms of primitives should
fac...
Networks-on-Chip (NoCs) have been recently proposed as a promising solution to complex on-chip communication problems. The lack of an unified representation of applications and ar...
Abstract. Multiple-instance learning (MIL) allows for training classifiers from ambiguously labeled data. In computer vision, this learning paradigm has been recently used in many ...
Today’s inter-domain routing protocol, the Border Gateway Protocol (BGP), is increasingly complicated and fragile due to policy misconfiguration by individual autonomous system...
Anduo Wang, Alexander J. T. Gurney, Xianglong Han,...