We present a new approach of explaining partial causality in multivariate fMRI time series by a state space model. A given single time series can be divided into two noise-driven ...
Abstract. This paper develops a local reasoning method to check lineartime temporal properties of concurrent programs. In practice, it is often infeasible to model check over the p...
Modeling the dependencies between provided and required services within a software component is necessary for several reasons, such as automated component adaptation and architectu...
Digital Signal Processing (DSP) is becoming increasingly widespread in portable devices. Due to harsh constraints on power, latency, and throughput in embedded environments, devel...
Sitij Agrawal, William Thies, Saman P. Amarasinghe
Time-series segmentation in the fully unsupervised scenario in which the number of segment-types is a priori unknown is a fundamental problem in many applications. We propose a Ba...