We combine Bayesian online change point detection with Gaussian processes to create a nonparametric time series model which can handle change points. The model can be used to loca...
Over the last several years, a new probabilistic representation for 3-d volumetric modeling has been developed. The main purpose of the model is to detect deviations from the norm...
Parallel changes are becoming increasingly prevalent in the development of large scale software system. To further study the relationship between parallel changes and faults, we h...
Abstract. In dynamic environments like the Web, data sources may change not only their data but also their schemas, their semantics, and their query capabilities.When a mapping is ...
It is often desirable to detect whether a surface has been touched, even when the changes made to that surface are too subtle to see in a pair of before and after images. To addre...
Yi-Chang Shih, Abe Davis, Samuel W. Hasinoff, Fr&e...