Pages that link to "Item:Q2577855"
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The following pages link to A Riemannian framework for tensor computing (Q2577855):
Displaying 35 items.
- Kernel Density Estimation on Spaces of Gaussian Distributions and Symmetric Positive Definite Matrices (Q5266372) (← links)
- A Nonlocal Denoising Algorithm for Manifold-Valued Images Using Second Order Statistics (Q5266380) (← links)
- A Majorization-Minimization Algorithm for Computing the Karcher Mean of Positive Definite Matrices (Q5346759) (← links)
- Goal-Oriented Optimal Approximations of Bayesian Linear Inverse Problems (Q5372624) (← 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)
- Convergence of Anisotropic Mesh Adaptation via Metric Optimization (Q5864680) (← links)
- Introduction to Riemannian Geometry and Geometric Statistics: From Basic Theory to Implementation with Geomstats (Q5885997) (← links)
- Kriging prediction for manifold-valued random fields (Q5964278) (← links)
- Two proximal splitting methods in Hadamard spaces (Q6042685) (← links)
- Entropic regularization of Wasserstein distance between infinite-dimensional Gaussian measures and Gaussian processes (Q6046189) (← links)
- Old and new challenges in Hadamard spaces (Q6052560) (← links)
- Bures–Wasserstein Minimizing Geodesics between Covariance Matrices of Different Ranks (Q6053420) (← links)
- Modeling sparse longitudinal data on Riemannian manifolds (Q6055489) (← links)
- Symmetric positive definite manifold learning and its application in fault diagnosis (Q6072438) (← links)
- Probabilistic learning vector quantization on manifold of symmetric positive definite matrices (Q6079057) (← links)
- Multiple clustering for identifying subject clusters and brain sub-networks using functional connectivity matrices without vectorization (Q6079078) (← links)
- Convergence Analysis of Leapfrog for Geodesics (Q6080817) (← links)
- Lognormal Distributions and Geometric Averages of Symmetric Positive Definite Matrices (Q6086481) (← links)
- Operator-valued formulas for Riemannian gradient and Hessian and families of tractable metrics in Riemannian optimization (Q6108977) (← links)
- B-stability of numerical integrators on Riemannian manifolds (Q6120391) (← links)
- Unsupervised concept drift detection for time series on Riemannian manifolds (Q6136400) (← links)
- Structure‐preserving invariant interpolation schemes for invertible second‐order tensors (Q6148521) (← links)
- Distances and isomorphism between networks: stability and convergence of network invariants (Q6175712) (← links)
- Spatiotemporal analysis using Riemannian composition of diffusion operators (Q6185681) (← links)
- Intrinsic and extrinsic deep learning on manifolds (Q6200905) (← links)
- Learning a discriminative SPD manifold neural network for image set classification (Q6488690) (← links)
- Output-based mesh optimization for hybridized and embedded discontinuous Galerkin methods (Q6497691) (← links)
- Permutation-invariant log-Euclidean geometries on full-rank correlation matrices (Q6540317) (← links)
- An adaptive model order reduction technique for parameter-dependent modular structures (Q6558965) (← links)
- Differential geometry with extreme eigenvalues in the positive semidefinite cone (Q6561640) (← links)
- Nonsmooth nonconvex optimization on Riemannian manifolds via bundle trust region algorithm (Q6568928) (← links)
- New vector transport operators extending a Riemannian CG algorithm to generalized Stiefel manifold with low-rank applications (Q6581989) (← links)
- Interpolation methods for orthotropic fourth-order fiber orientation tensors in context of virtual composites manufacturing (Q6595885) (← links)
- Parametric information geometry with the package Geomstats (Q6604144) (← links)
