Pages that link to "Item:Q970658"
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The following pages link to Riemannian geometry for the statistical analysis of diffusion tensor data (Q970658):
Displaying 39 items.
- Designing a Boosted Classifier on Riemannian Manifolds (Q2807060) (← links)
- Localizing differentially evolving covariance structures via scan statistics (Q3121219) (← links)
- Eigenvalues of Random Matrices with Isotropic Gaussian Noise and the Design of Diffusion Tensor Imaging Experiments (Q3130755) (← links)
- Non-smooth Variational Regularization for Processing Manifold-Valued Data (Q3300533) (← links)
- Statistical Analysis of Trajectories of Multi-Modality Data (Q3300546) (← links)
- Averaging Symmetric Positive-Definite Matrices (Q3300555) (← links)
- A Graph Framework for Manifold-Valued Data (Q4686918) (← links)
- Total Generalized Variation for Manifold-Valued Data (Q4689778) (← links)
- (Q4972441) (← links)
- Principal Flows (Q4975361) (← links)
- Tracking and Regret Bounds for Online Zeroth-Order Euclidean and Riemannian Optimization (Q5072586) (← links)
- Fenchel Duality and a Separation Theorem on Hadamard Manifolds (Q5080506) (← links)
- Convergence of the Time Discrete Metamorphosis Model on Hadamard Manifolds (Q5108487) (← links)
- Wavelet Sparse Regularization for Manifold-Valued Data (Q5112041) (← links)
- Principal Boundary on Riemannian Manifolds (Q5120679) (← links)
- Regularisation, interpolation and visualisation of diffusion tensor images using non-Euclidean statistics (Q5138052) (← links)
- Modeling glioma invasion with anisotropy- and hypoxia-triggered motility enhancement: From subcellular dynamics to macroscopic PDEs with multiple taxis (Q5164207) (← links)
- Riemannian Geometry of Symmetric Positive Definite Matrices via Cholesky Decomposition (Q5203964) (← links)
- A diffusion generated method for orthogonal matrix-valued fields (Q5207432) (← links)
- Geometric decomposition of the conformation tensor in viscoelastic turbulence (Q5225845) (← links)
- A Majorization-Minimization Algorithm for Computing the Karcher Mean of Positive Definite Matrices (Q5346759) (← links)
- A Level Set Based Variational Principal Flow Method for Nonparametric Dimension Reduction on Riemannian Manifolds (Q5350441) (← links)
- Scaling-Rotation Distance and Interpolation of Symmetric Positive-Definite Matrices (Q5502149) (← links)
- An Inexact Semismooth Newton Method on Riemannian Manifolds with Application to Duality-Based Total Variation Denoising (Q5860376) (← links)
- Theoretically and Computationally Convenient Geometries on Full-Rank Correlation Matrices (Q5885798) (← links)
- Bures–Wasserstein Minimizing Geodesics between Covariance Matrices of Different Ranks (Q6053420) (← links)
- Asymptotic models of the diffusion MRI signal accounting for geometrical deformations (Q6060123) (← links)
- Lognormal Distributions and Geometric Averages of Symmetric Positive Definite Matrices (Q6086481) (← links)
- B-stability of numerical integrators on Riemannian manifolds (Q6120391) (← links)
- Structure‐preserving invariant interpolation schemes for invertible second‐order tensors (Q6148521) (← links)
- Intrinsic and extrinsic deep learning on manifolds (Q6200905) (← links)
- Covariance-based soft clustering of functional data based on the Wasserstein-Procrustes metric (Q6536915) (← links)
- Covariance analysis for temporal data, with applications to DNA modelling (Q6540516) (← links)
- Statistical inference for wavelet curve estimators of symmetric positive definite matrices (Q6541940) (← links)
- Differential geometry with extreme eigenvalues in the positive semidefinite cone (Q6561640) (← links)
- Robust optimization and inference on manifolds (Q6593364) (← links)
- Manifolds.jl: an extensible Julia framework for data analysis on manifolds (Q6604142) (← links)
- Random Fixed Boundary Flows (Q6631731) (← links)
- Inference for partially observed Riemannian Ornstein-Uhlenbeck diffusions of covariance matrices (Q6635722) (← links)
