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» On Computing Functions with Uncertainty
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ICML
2007
IEEE
14 years 10 months ago
Modeling changing dependency structure in multivariate time series
We show how to apply the efficient Bayesian changepoint detection techniques of Fearnhead in the multivariate setting. We model the joint density of vector-valued observations usi...
Xiang Xuan, Kevin P. Murphy
ICML
2007
IEEE
14 years 10 months ago
Robust mixtures in the presence of measurement errors
We develop a mixture-based approach to robust density modeling and outlier detection for experimental multivariate data that includes measurement error information. Our model is d...
Ata Kabán, Jianyong Sun, Somak Raychaudhury
ICRA
2007
IEEE
175views Robotics» more  ICRA 2007»
14 years 3 months ago
Homography Based Kalman Filter for Mosaic Building. Applications to UAV position estimation
— This paper presents a probabilistic framework where uncertainties can be considered in the mosaic building process. It is shown how can be used as an environment representation...
Fernando Caballero, Luis Merino, Joaquin Ferruz, A...
ISIPTA
2005
IEEE
146views Mathematics» more  ISIPTA 2005»
14 years 2 months ago
Arithmetic on Random Variables: Squeezing the Envelopes with New Joint Distribution Constraints
Uncertainty is a key issue in decision analysis and other kinds of applications. Researchers have developed a number of approaches to address computations on uncertain quantities....
Jianzhong Zhang 0004, Daniel Berleant
ITRUST
2005
Springer
14 years 2 months ago
Trust Management Survey
Trust is an important tool in human life, as it enables people to cope with the uncertainty caused by the free will of others. Uncertainty and uncontrollability are also issues in ...
Sini Ruohomaa, Lea Kutvonen