Kernel techniques have long been used in SVM to handle linearly inseparable problems by transforming data to a high dimensional space, but training and testing large data sets is ...
Abstract—Stream processing is widely used by today’s applications such as financial data analysis and disaster response. In distributed stream processing systems, machine fail...
Zhe Zhang, Yu Gu, Fan Ye, Hao Yang, Minkyong Kim, ...
Nowadays building a web application is still a complex process that requires a big effort to get several tasks done. This article presents a domain specific language aimed to simpl...
In this article, we present a novel discrete-time Markov chain model of book-ahead bandwidthsharing mechanisms. We use this analytical model and a simulation model to understand t...
We present a tool for real-time visualization of motion features in 2D image sequences. The motion is estimated through an eigenvector analysis of the spatiotemporal structure ten...