symmetric positive definite matrice

Wrapped Gaussian on the manifold of Symmetric Positive Definite Matrices ICML 2025 Random matrix theory improved Fréchet mean of symmetric positive definite matrices ICML 2024 Riemannian Multinomial Logistics Regression for SPD Neural Networks CVPR 2024 RMLR: Extending Multinomial Logistic Regression into General Geometries NeurIPS 2024 Building Neural Networks on Matrix Manifolds: A Gyrovector Space Approach ICML 2023 Riemannian Local Mechanism for SPD Neural Networks AAAI 2023 Sliced-Wasserstein on Symmetric Positive Definite Matrices for M/EEG Signals ICML 2023 Riemannian Embedding Banks for Common Spatial Patterns with EEG-based SPD Neural Networks AAAI 2021 Vector-valued Distance and Gyrocalculus on the Space of Symmetric Positive Definite Matrices NeurIPS 2021 More About VLAD: A Leap From Euclidean to Riemannian Manifolds CVPR 2015 Kernel Methods on the Riemannian Manifold of Symmetric Positive Definite Matrices CVPR 2013 Log-Euclidean Kernels for Sparse Representation and Dictionary Learning ICCV 2013 Recursive Karcher Expectation Estimators And Geometric Law of Large Numbers AISTATS 2013 A new metric on the manifold of kernel matrices with application to matrix geometric means NeurIPS 2012