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GRC
2010
IEEE
15 years 5 months ago
Learning Multiple Latent Variables with Self-Organizing Maps
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...
Lili Zhang, Erzsébet Merényi
TSP
2008
149views more  TSP 2008»
15 years 4 months ago
Decentralized Quantized Kalman Filtering With Scalable Communication Cost
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...
ICPR
2002
IEEE
16 years 5 months ago
Modeling Object Classes in Aerial Images Using Texture Motifs
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...
Sitaram Bhagavathy, Shawn Newsam, B. S. Manjunath
CEC
2009
IEEE
15 years 11 months ago
The importance of search space dimensionality in a computational model of embryogeny
— 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,...
Chris P. Bowers
PAM
2007
Springer
15 years 10 months ago
Impact of Alias Resolution on Traceroute -Based Sample Network Topologies
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 ...