Deep Belief Networks (DBNs) are multi-layer generative models. They can be trained to model windows of coefficients extracted from speech and they discover multiple layers of fea...
Abdel-rahman Mohamed, Tara N. Sainath, George Dahl...
A user task often spans multiple heterogeneous devices, e.g., working on a PC in the office and continuing the work on a laptop or a mobile phone while commuting on a shuttle. How...
We present a metamodel for runtime architecture and demonstrate with experimental results how this metamodel can be used to recover, analyze and improve runtime architecture of mo...
Abstract— Social networking is increasingly becoming a popular means of communication for online users. The trend is also true for offline scenarios where people use their mobil...
While many clever techniques have been proposed for visual analysis, most of these are “one of” and it is not easy to see how to combine multiple techniques. We propose an alg...
Anna A. Shaverdian, Hao Zhou, George Michailidis, ...