Pages that link to "Item:Q970661"
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The following pages link to A Riemannian approach to anisotropic filtering of tensor fields (Q970661):
Displaying 16 items.
- Diffusion tensor smoothing through weighted Karcher means (Q358884) (← links)
- Geodesics on the manifold of multivariate generalized Gaussian distributions with an application to multicomponent texture discrimination (Q409130) (← links)
- A nonparametric Riemannian framework on tensor field with application to foreground segmentation (Q437782) (← links)
- Statistics on the manifold of multivariate normal distributions: theory and application to diffusion tensor MRI processing (Q851837) (← links)
- New Riemannian techniques for directional and tensorial image data (Q962734) (← links)
- Riemannian geometry for the statistical analysis of diffusion tensor data (Q970658) (← links)
- The Riemannian geometry of the space of positive-definite matrices and its application to the regularization of positive-definite matrix-valued data (Q1932852) (← links)
- On the geometry of multivariate generalized Gaussian models (Q1932947) (← links)
- A Riemannian Bayesian framework for estimating diffusion tensor images (Q1991506) (← links)
- A two-phase-like proximal point algorithm in domains of positivity (Q2008177) (← links)
- The geodesic distance on the generalized gamma manifold for texture image retrieval (Q2127293) (← links)
- A Riemannian framework for tensor computing (Q2577855) (← links)
- \(L^\alpha \) Riemannian weighted centers of mass applied to compose an image filter to diffusion tensor imaging (Q2660819) (← links)
- Manifold-Valued Data in Medical Imaging Applications (Q3300558) (← links)
- From Diffusion MRI to Brain Connectomics (Q4554278) (← links)
- Robust Averaging of Covariances for EEG Recordings Classification in Motor Imagery Brain-Computer Interfaces (Q5380716) (← links)