This paper describes a computational learning model inspired by the technology of optical thin-film multilayers from the field of optics. With the thicknesses of thin-film layers ...
We consider the problem of obtaining a reduced dimension representation of electropalatographic (EPG) data. An unsupervised learning approach based on latent variable modelling is...
Phase noise in an interferogram hinders the accuracy and reliability of interferometric synthetic aperture radar (InSAR) measurements, including deformation estimation and topogra...
Despite significant efforts to obtain an accurate picture of the Internet's actual connectivity structure at the level of individual autonomous systems (ASes), much has remai...
Ricardo V. Oliveira, Dan Pei, Walter Willinger, Be...
We introduce transformations from time series data to the domain of complex networks which allow us to characterise the dynamics underlying the time series in terms of topological ...