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» Robust Adjusted Likelihood Function for Image Analysis
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IPMI
2001
Springer
14 years 8 months ago
Spatio-temporal Covariance Model for Medical Images Sequences: Application to Functional MRI Data
Spatial and temporal correlations which affect the signal measured in functional MRI (fMRI) are usually not considered simultaneously (i.e., as non-independent random processes) in...
Frithjof Kruggel, Habib Benali, Mélanie P&e...
CAIP
2009
Springer
171views Image Analysis» more  CAIP 2009»
13 years 11 months ago
Affine Moment Invariants of Color Images
A new type of affine moment invariants for color images is proposed in this paper. The traditional affine moment invariants can be computed on each color channel separately, yet wh...
Tomás Suk, Jan Flusser
IJAR
2008
161views more  IJAR 2008»
13 years 7 months ago
Bayesian learning for a class of priors with prescribed marginals
We present Bayesian updating of an imprecise probability measure, represented by a class of precise multidimensional probability measures. Choice and analysis of our class are mot...
Hermann Held, Thomas Augustin, Elmar Kriegler
IJRR
2010
199views more  IJRR 2010»
13 years 2 months ago
Visual Tracking via Particle Filtering on the Affine Group
We propose a particle filtering-based visual tracker, in which the affine group is treated as the state. We first develop a general particle filtering algorithm that explicitly tak...
Junghyun Kwon, Frank C. Park
CAIP
1999
Springer
138views Image Analysis» more  CAIP 1999»
13 years 11 months ago
Procrustes Alignment with the EM Algorithm
This paper casts the problem of point-set alignment via Procrustes analysis into a maximum likelihood framework using the EM algorithm. The aim is to improve the robustness of the...
Bin Luo, Edwin R. Hancock