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» Modeling Uncertainty in Context-Aware Computing
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ICRA
2010
IEEE
111views Robotics» more  ICRA 2010»
13 years 8 months ago
Improved Monte Carlo localization of autonomous robots through simultaneous estimation of motion model parameters
Abstract— In recent years, there has been an increasing interest in autonomous navigation for lightweight flying robots. With regard to self-localization flying robots have sev...
Jörg Müller 0004, Christoph Gonsior, Wol...
CAISE
2010
Springer
13 years 11 months ago
Probabilistic Models to Reconcile Complex Data from Inaccurate Data Sources
There is a large amount of data that is published on the Web and several techniques have been developed to extract and integrate data from Web sources. However, Web data are inhere...
Lorenzo Blanco, Valter Crescenzi, Paolo Merialdo, ...
ICASSP
2011
IEEE
13 years 1 months ago
On selecting the hyperparameters of the DPM models for the density estimation of observation errors
The Dirichlet Process Mixture (DPM) models represent an attractive approach to modeling latent distributions parametrically. In DPM models the Dirichlet process (DP) is applied es...
Asma Rabaoui, Nicolas Viandier, Juliette Marais, E...
ICRA
2010
IEEE
163views Robotics» more  ICRA 2010»
13 years 8 months ago
Exploiting domain knowledge in planning for uncertain robot systems modeled as POMDPs
Abstract— We propose a planning algorithm that allows usersupplied domain knowledge to be exploited in the synthesis of information feedback policies for systems modeled as parti...
Salvatore Candido, James C. Davidson, Seth Hutchin...
TASLP
2010
118views more  TASLP 2010»
13 years 8 months ago
Time-Frequency Sparsity by Removing Perceptually Irrelevant Components Using a Simple Model of Simultaneous Masking
Abstract—We present an algorithm for removing timefrequency components, found by a standard Gabor transform, of a “real-world” sound while causing no audible difference to th...
Péter Balázs, Bernhard Laback, Gerha...