symmetric positive definite matrix

Cov2Pose: Leveraging Spatial Covariance for Direct Manifold-aware 6-DoF Object Pose Estimation CVPR 2026 Schur's Positive-Definite Network: Deep Learning in the SPD cone with structure ICLR 2025 Understanding Matrix Function Normalizations in Covariance Pooling through the Lens of Riemannian Geometry ICLR 2025 Geodesic Optimization for Predictive Shift Adaptation on EEG data NeurIPS 2024 Matrix Manifold Neural Networks++ ICLR 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 Fully-Connected Network on Noncompact Symmetric Space and Ridgelet Transform based on Helgason-Fourier Analysis ICML 2022 Log-Euclidean Signatures for Intrinsic Distances Between Unaligned Datasets ICML 2022 Vector Transport Free Riemannian LBFGS for Optimization on Symmetric Positive Definite Matrix Manifolds ACML 2021 Geodesically-convex optimization for averaging partially observed covariance matrices ACML 2020 Learning to Optimize on SPD Manifolds CVPR 2020 Learning Weighted Submanifolds With Variational Autoencoders and Riemannian Variational Autoencoders CVPR 2020 Learning Neural Bag-of-Matrix-Summarization with Riemannian Network AAAI 2019 Riemannian batch normalization for SPD neural networks NeurIPS 2019 A Statistical Recurrent Model on the Manifold of Symmetric Positive Definite Matrices NeurIPS 2018 Towards Generalized and Efficient Metric Learning on Riemannian Manifold IJCAI 2018 Revisiting Metric Learning for SPD Matrix Based Visual Representation CVPR 2017 Geometry-aware stationary subspace analysis ACML 2016 Beyond Covariance: Feature Representation With Nonlinear Kernel Matrices ICCV 2015 Geometry-Aware Principal Component Analysis for Symmetric Positive Definite Matrices ACML 2015 More About VLAD: A Leap From Euclidean to Riemannian Manifolds CVPR 2015 Recursive Estimation of the Stein Center of SPD Matrices and Its Applications ICCV 2013 A new metric on the manifold of kernel matrices with application to matrix geometric means NeurIPS 2012