In this study we address the problem of extracting a robust connectivity metric for brain white matter. We defined the connectivity problem as an energy minimization task, by assoc...
We apply Support Vector Machines (SVMs) to identify English base phrases (chunks). SVMs are known to achieve high generalization performance even with input data of high dimension...
Protecting shared sensitive information is a key requirement for today’s distributed applications. Our research uses virtualization technologies to create and maintain trusted d...
Jiantao Kong, Karsten Schwan, Min Lee, Mustaque Ah...
Coarse Grain Reconfigurable Architectures (CGRAs) promise high performance at high power efficiency. They fulfil this promise by keeping the hardware extremely simple, and movi...
Yongjoo Kim, Jongeun Lee, Aviral Shrivastava, Yunh...
In this paper, we present a wireless sensor platform designed for processing multipoint human motion with low latency and high resolution. One application considered here is inter...