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» Bayesian Parameter Estimation: A Monte Carlo Approach
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CVPR
2004
IEEE
14 years 9 months ago
Incremental Density Approximation and Kernel-Based Bayesian Filtering for Object Tracking
Statistical density estimation techniques are used in many computer vision applications such as object tracking, background subtraction, motion estimation and segmentation. The pa...
Bohyung Han, Dorin Comaniciu, Ying Zhu, Larry S. D...
NIPS
2007
13 years 8 months ago
Bayesian Agglomerative Clustering with Coalescents
We introduce a new Bayesian model for hierarchical clustering based on a prior over trees called Kingman’s coalescent. We develop novel greedy and sequential Monte Carlo inferen...
Yee Whye Teh, Hal Daumé III, Daniel M. Roy
INFORMATICALT
2010
169views more  INFORMATICALT 2010»
13 years 5 months ago
Parameters Estimation in Modelling of Gas-Gap in RBMK Type Reactor Using Bayesian Approach
Abstract. This study presents developed algorithm for assessment and updating estimates of parameters in the mathematical models of non-stationary processes (for instance, system a...
Inga Zutautaite-Seputiene, Juozas Augutis, Laimuti...
ISBI
2008
IEEE
14 years 8 months ago
FMRI brain activity and underlying hemodynamics estimation in a new Bayesian framework
The emerging functional MRI (Magnetic Resonance Imaging), fMRI, imaging modality was developed to obtain non-invasive information regarding the neural processes behind pre-determi...
David M. Afonso, João M. Sanches, Martin H....
TR
2008
164views more  TR 2008»
13 years 7 months ago
Inference Based on Type-II Hybrid Censored Data From a Weibull Distribution
A hybrid censoring scheme is a mixture of Type-I and Type-II censoring schemes. This article presents the statistical inferences on Weibull parameters when the data are Type-II hyb...
Aveek Banerjee, Debasis Kundu