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» When Is Uncertainty About Uncertainty Worth Characterizing
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104
Voted
ICASSP
2011
IEEE
14 years 4 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...
AAAI
2011
14 years 20 days ago
Learning Accuracy and Availability of Humans Who Help Mobile Robots
When mobile robots perform tasks in environments with humans, it seems appropriate for the robots to rely on such humans for help instead of dedicated human oracles or supervisors...
Stephanie Rosenthal, Manuela M. Veloso, Anind K. D...
102
Voted
ECCV
2008
Springer
16 years 2 months ago
Constructing Category Hierarchies for Visual Recognition
Abstract. Class hierarchies are commonly used to reduce the complexity of the classification problem. This is crucial when dealing with a large number of categories. In this work, ...
Marcin Marszalek, Cordelia Schmid
ICIP
2007
IEEE
16 years 2 months ago
Total Variation Image Restoration and Parameter Estimation using Variational Posterior Distribution Approximation
In this paper we propose novel algorithms for total variation (TV) based image restoration and parameter estimation utilizing variational distribution approximations. By following...
S. Derin Babacan, Rafael Molina, Aggelos K. Katsag...
71
Voted
SC
2009
ACM
15 years 7 months ago
Evaluating the impact of inaccurate information in utility-based scheduling
Proponents of utility-based scheduling policies have shown the potential for a 100–1400% increase in value-delivered to users when used in lieu of traditional approaches such as...
Alvin AuYoung, Amin Vahdat, Alex C. Snoeren