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» Robust maximum likelihood estimation in Q-space MRI
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MICCAI
2006
Springer
14 years 7 months ago
Rician Noise Removal in Diffusion Tensor MRI
Rician noise introduces a bias into MRI measurements that can have a significant impact on the shapes and orientations of tensors in diffusion tensor magnetic resonance images. Thi...
Saurav Basu, P. Thomas Fletcher, Ross T. Whitaker
MICCAI
2004
Springer
14 years 7 months ago
3D Bayesian Regularization of Diffusion Tensor MRI Using Multivariate Gaussian Markov Random Fields
3D Bayesian regularization applied to diffusion tensor MRI is presented here. The approach uses Markov Random Field ideas and is based upon the definition of a 3D neighborhood syst...
Marcos Martín-Fernández, Carl-Fredri...
BMCBI
2005
100views more  BMCBI 2005»
13 years 6 months ago
Scoredist: A simple and robust protein sequence distance estimator
Background: Distance-based methods are popular for reconstructing evolutionary trees thanks to their speed and generality. A number of methods exist for estimating distances from ...
Erik L. L. Sonnhammer, Volker Hollich
ICASSP
2011
IEEE
12 years 10 months ago
Efficient semidefinite relaxation for robust geolocation of unknown emitter by a satellite cluster using TDOA and FDOA measureme
In this paper, we consider the problem of geolocating an unknown emitter by a satellite cluster. We formulate the problem as the maximum likelihood location estimation by using TD...
Kehu Yang, Lizhong Jiang, Zhi-Quan Luo
PKDD
2004
Springer
90views Data Mining» more  PKDD 2004»
14 years 2 days ago
Shape and Size Regularization in Expectation Maximization and Fuzzy Clustering
The more sophisticated fuzzy clustering algorithms, like the Gustafson–Kessel algorithm [11] and the fuzzy maximum likelihood estimation (FMLE) algorithm [10] offer the possibil...
Christian Borgelt, Rudolf Kruse