ARIMA is a popular method to analyze stationary univariate time series data. There are usually three main stages to build an ARIMA model, including model identification, model est...
This paper presents a quantification of the timing effects that advanced processor features like data and instruction cache, pipelines, branch prediction units and out-oforder ex...
Background: Gene set analysis (GSA) has become a successful tool to interpret gene expression profiles in terms of biological functions, molecular pathways, or genomic locations. ...
Ke Zhang, Haiyan Wang, Arne C. Bathke, Solomon W. ...
We present an algorithm for the layered segmentation of video data in multiple views. The approach is based on computing the parameters of a layered representation of the scene in...
In this paper, the Gaussianity and linearity of the snoring sound (SS) segments extracted from respiratory sounds are discussed. The respiratory sound signals were recorded from 3...