This paper proposes a Bayesian algorithm to estimate the parameters of a smooth transition regression model. With in this model, time series are divided into segments and a linear...
In traditional framework of Compressive Sensing (CS), only sparse prior on the property of signals in time or frequency domain is adopted to guarantee the exact inverse recovery. ...
Marked point processes have received a great attention in the recent years, for their ability to extract objects in large data sets as those obtained in biological studies or hype...
Florent Chatelain, Aude Costard, Olivier J. J. Mic...
Abstract—Recently, it has been shown that a simple, distributed CSMA algorithm is throughput-optimal. However, throughput-optimality is established under the perfect or ideal car...
Tae Hyun Kim 0001, Jian Ni, R. Srikant, Nitin H. V...
In this paper, we introduce a new type of coverage for wireless sensor networks, called Directed Coverage (DCoverage). Basically, D-Coverage is the coverage provided by a sensor n...
Changqing Xu, Xiaole Bai, Lei Ding, Jin Teng, Srir...