conftrace_

symmetric positive definite matrix

18 papers

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Also known as

SPD MATRIX

Co-occurring keywords

riemannian manifold (169) symmetric positive definite matrice (11) riemannian geometry (68) recurrent neural network (1790) distance metric (84) matrix manifold (12) matrix geometry (2) grassmann manifold (32) manifold optimization (67) kernel matrix (73)

Papers

RMLR: Extending Multinomial Logistic Regression into General Geometries NIPS 2024
Geodesic Optimization for Predictive Shift Adaptation on EEG data NIPS 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
Learning to Optimize on SPD Manifolds CVPR 2020
Geodesically-convex optimization for averaging partially observed covariance matrices ACML 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 NIPS 2019
A Statistical Recurrent Model on the Manifold of Symmetric Positive Definite Matrices NIPS 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
More About VLAD: A Leap From Euclidean to Riemannian Manifolds CVPR 2015
Geometry-Aware Principal Component Analysis for Symmetric Positive Definite Matrices ACML 2015
A new metric on the manifold of kernel matrices with application to matrix geometric means NIPS 2012
Matrix Exponentiated Gradient Updates for On-line Learning and Bregman Projection JMLR 2005