Humans can remember various types of information, including facts, dates, events and even intricate narratives. Understanding ...

This paper mainly suggests a new type of interval time series: interval autoregressive (IAR) model. Firstly we state why we should introduce the interval time series models. Then we give necessary ...

We introduce a time-varying Gaussian Markov Random Fields (T-GMRF) model to describe the correlation structure between MTS variables, and formulate the time-varying feature extraction problem as a ...