Inference of latent variables from complicated data is one important problem in data mining. The high dimensionality and high complexity of real world data often make accurate infe...
Estimation and tracking of generally nonstationary Markov processes is of paramount importance for applications such as localization and navigation. In this context, ad hoc wireles...
Eric J. Msechu, Stergios I. Roumeliotis, Alejandro...
We propose a canonical model for object classes in aerial images. This model is motivated by the observation that geographic regions of interest are characterized by collections o...
— This paper investigates the role of genotypic search space dimensionality on the behaviour and characteristics of a computational model of embryogeny. By varying genome length,...
Most Internet measurement studies utilize traceroute-collected path traces to build Internet maps. In this paper, we measure the impact of alias resolution problem on Internet topo...
Mehmet Hadi Gunes, Nicolas Sanchis Nielsen, Kamil ...