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KI
2009
Springer
15 years 4 months ago
Maximum a Posteriori Estimation of Dynamically Changing Distributions
This paper presents a sequential state estimation method with arbitrary probabilistic models expressing the system’s belief. Probabilistic models can be estimated by Maximum a po...
Michael Volkhardt, Sören Kalesse, Steffen M&u...
ICRA
2009
IEEE
145views Robotics» more  ICRA 2009»
15 years 4 months ago
Distributed maximum a posteriori estimation for multi-robot cooperative localization
— This paper presents a distributed Maximum A Posteriori (MAP) estimator for multi-robot Cooperative Localization (CL). As opposed to centralized MAP-based CL, the proposed algor...
Esha D. Nerurkar, Stergios I. Roumeliotis, Agostin...
ICPR
2008
IEEE
15 years 10 months ago
Variational Maximum A Posteriori model similarity and dissimilarity matching
A new variational Maximum A Posteriori (MAP) contextual modeling approach is presented that minimizes the product of two ratios: (a) the ratio of the model distribution to the dis...
John Chiverton, Majid Mirmehdi, Xianghua Xie
CVPR
2003
IEEE
15 years 11 months ago
Simultaneous Estimation of Left Ventricular Motion and Material Properties with Maximum a Posteriori Strategy
In addition to its technical merits as a challenging non-rigid motion and structural integrity analysis problem, quantitative estimation of cardiac regional functions and material...
Huafeng Liu, Pengcheng Shi
MICCAI
2010
Springer
14 years 8 months ago
Incorporating Priors on Expert Performance Parameters for Segmentation Validation and Label Fusion: A Maximum a Posteriori STAPL
Abstract. In order to evaluate the quality of segmentations of an image and assess intra- and inter-expert variability in segmentation performance, an Expectation Maximization (EM)...
Olivier Commowick, Simon K. Warfield