Pages that link to "Item:Q1582628"
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The following pages link to Multivariate normal distributions parametrized as a Riemannian symmetric space (Q1582628):
Displaying 15 items.
- The maximal Strichartz family of Gaussian distributions: Fisher information, index of dispersion, and stochastic ordering (Q341213) (← links)
- Fisher information distance: a geometrical reading (Q499362) (← links)
- Möbius deconvolution on the hyperbolic plane with application to impedance density estimation (Q988012) (← links)
- On the geometry of generalized Gaussian distributions (Q1002358) (← links)
- Information geometry and asymptotic geodesics on the space of normal distributions (Q2046668) (← links)
- Pairwise rigid registration based on Riemannian geometry and Lie structures of orientation tensors (Q2051543) (← 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)
- Mixed region covariance discriminative learning for image classification on Riemannian manifolds (Q2298024) (← links)
- Inference on the eigenvalues of the covariance matrix of a multivariate normal distribution -- geometrical view (Q2453612) (← links)
- Rao distances (Q2486175) (← links)
- Gaussian Distributions on Riemannian Symmetric Spaces: Statistical Learning With Structured Covariance Matrices (Q4566664) (← links)
- Kernel Density Estimation on Spaces of Gaussian Distributions and Symmetric Positive Definite Matrices (Q5266372) (← links)
- Designing universal causal deep learning models: The geometric (Hyper)transformer (Q6196301) (← links)
- Learning a discriminative SPD manifold neural network for image set classification (Q6488690) (← links)
