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» Bayesian Parameter Estimation: A Monte Carlo Approach
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TMI
2010
182views more  TMI 2010»
14 years 10 months ago
A Bayesian Mixture Approach to Modeling Spatial Activation Patterns in Multisite fMRI Data
Abstract—We propose a probabilistic model for analyzing spatial activation patterns in multiple functional magnetic resonance imaging (fMRI) activation images such as repeated ob...
Seyoung Kim, Padhraic Smyth, Hal S. Stern
ICPR
2008
IEEE
16 years 1 months ago
Dual generative models for human motion estimation from an uncalibrated monocular camera
We propose a new approach to estimate gait kinematics from image sequences taken by a monocular uncalibrated camera. This approach involves two generative models for gait represen...
Guoliang Fan, Xin Zhang
ISQED
2009
IEEE
112views Hardware» more  ISQED 2009»
15 years 6 months ago
Estimation and optimization of reliability of noisy digital circuits
— With continued scaling, reliability is emerging as a critical challenge for the designers of digital circuits. The challenge stems in part from the lack of computationally efï¬...
Satish Sivaswamy, Kia Bazargan, Marc D. Riedel
IVC
2008
141views more  IVC 2008»
14 years 11 months ago
Segmentation of color images via reversible jump MCMC sampling
Reversible jump Markov chain Monte Carlo (RJMCMC) is a recent method which makes it possible to construct reversible Markov chain samplers that jump between parameter subspaces of...
Zoltan Kato
ICPR
2008
IEEE
16 years 1 months ago
An approach for dynamic combination of region and boundary information in segmentation
Image segmentation combining boundary and region information has been the subject of numerous research works in the past. This combination is usually subject to arbitrary weightin...
Djemel Ziou, Mohand Saïd Allili