This paper proposes a nonparametric Bayesian method for exploratory data analysis and feature construction in continuous time series. Our method focuses on understanding shared fe...
This paper provides a linguistic semantic analysis of time and aspect in natural languages. On the basis of topological concepts, notions are introduced like the basic aspectual op...
The contribution of this paper is threefold. First, an improvement to a previously published paper on the timing analysis of Controller Area Network (CAN) in the presence of trans...
We use a combination of proven methods from time series analysis and machine learning to explore the relationship between temporal and semantic similarity in web query logs; we di...
Bing Liu 0003, Rosie Jones, Kristina Lisa Klinkner
: This project investigates the application of a fully wireless network of inertial sensors for full-body, 3-D motion capture, for the real-time analysis of Tango dancing. Towards ...