Pages that link to "Item:Q2577855"

The following pages link to A Riemannian framework for tensor computing (Q2577855):

Displaying 50 items.

• Matrix geometric means based on shuffled inductive sequences (Q2002785) (← links)
• Convergence rates for the generalized Fréchet mean via the quadruple inequality (Q2008610) (← links)
• Regularized divergences between covariance operators and Gaussian measures on Hilbert spaces (Q2031001) (← links)
• Numerical analysis of constrained total variation flows (Q2042473) (← links)
• Assignment flow for order-constrained OCT segmentation (Q2054391) (← links)
• Riemannian Gaussian distributions, random matrix ensembles and diffusion kernels (Q2057796) (← links)
• Fenchel duality theory and a primal-dual algorithm on Riemannian manifolds (Q2067679) (← links)
• Alpha Procrustes metrics between positive definite operators: a unifying formulation for the Bures-Wasserstein and Log-Euclidean/Log-Hilbert-Schmidt metrics (Q2069860) (← links)
• Total variation regularized Fréchet regression for metric-space valued data (Q2073719) (← links)
• Functional random effects modeling of brain shape and connectivity (Q2080727) (← links)
• Anisotropic mesh generation and adaptation for quads using the \(L_p\)-CVT method (Q2083656) (← links)
• Time irreversibility analysis and abnormality detection based on Riemannian geometry for complex time series (Q2108739) (← links)
• The Stein effect for Fréchet means (Q2112836) (← links)
• Low-rank multi-parametric covariance identification (Q2114111) (← links)
• Online learning of Riemannian hidden Markov models in homogeneous Hadamard spaces (Q2117823) (← links)
• Diffusion tensor regularization with metric double integrals (Q2122154) (← links)
• Efficient projection kernels for discontinuous Galerkin simulations of disperse multiphase flows on arbitrary curved elements (Q2122265) (← links)
• Anisotropic mesh adaptation for continuous finite element discretization through mesh optimization via error sampling and synthesis (Q2124992) (← links)
• Metric-based, goal-oriented mesh adaptation using machine learning (Q2127024) (← links)
• Intrinsic Riemannian functional data analysis for sparse longitudinal observations (Q2148996) (← links)
• Entropy-regularized 2-Wasserstein distance between Gaussian measures (Q2154664) (← links)
• Time-varying spectral matrix estimation via intrinsic wavelet regression for surfaces of Hermitian positive definite matrices (Q2157509) (← links)
• Concurrent object regression (Q2161189) (← links)
• The parametrized superelement approach for lattice joint modelling and simulation (Q2171499) (← links)
• The hyperbolic model for edge and texture detection in the primary visual cortex (Q2184205) (← links)
• Epilepsy detection in EEG using Grassmann discriminant analysis method (Q2185373) (← links)
• Infinite-dimensional log-determinant divergences between positive definite Hilbert-Schmidt operators (Q2188364) (← links)
• 3D human pose tracking priors using geodesic mixture models (Q2193544) (← links)
• Iterative multiplicative filters for data labeling (Q2193779) (← links)
• A new numerical scheme for discrete constrained total variation flows and its convergence (Q2201089) (← links)
• Discretization error control for constrained aerodynamic shape optimization (Q2220563) (← links)
• DTI segmentation and fiber tracking using metrics on multivariate normal distributions (Q2251274) (← links)
• Quantization and clustering on Riemannian manifolds with an application to air traffic analysis (Q2274972) (← links)
• Computing Riemannian center of mass on Hadamard manifolds (Q2278890) (← links)
• Alpha-beta log-determinant divergences between positive definite trace class operators (Q2279961) (← links)
• Component SPD matrices: a low-dimensional discriminative data descriptor for image set classification (Q2287974) (← links)
• Mixed region covariance discriminative learning for image classification on Riemannian manifolds (Q2298024) (← links)
• HARDI segmentation via fourth-order tensors and anisotropy preserving similarity measures (Q2331095) (← links)
• A simplified algorithm for inverting higher order diffusion tensors (Q2345063) (← links)
• Saliency detection via sparse reconstruction errors of covariance descriptors on Riemannian manifolds (Q2362606) (← links)
• Geometry-aware principal component analysis for symmetric positive definite matrices (Q2398090) (← links)
• An optimization-based framework for anisotropic simplex mesh adaptation (Q2446725) (← links)
• Unscented Kalman filtering on Riemannian manifolds (Q2513327) (← links)
• Multivariate tensor-based morphometry with a right-invariant Riemannian distance on \(\mathrm{GL}^+(n)\) (Q2513408) (← links)
• \(L^\alpha \) Riemannian weighted centers of mass applied to compose an image filter to diffusion tensor imaging (Q2660819) (← links)
• The geometry of mixed-Euclidean metrics on symmetric positive definite matrices (Q2669005) (← links)
• A review and comparison of error estimators for anisotropic mesh adaptation for flow simulations (Q2670046) (← links)
• \(O(n)\)-invariant Riemannian metrics on SPD matrices (Q2682855) (← links)
• A TT tensor machine on Einstein manifolds (Q2683207) (← links)
• A second order nonsmooth variational model for restoring manifold-valued images (Q2790077) (← links)