Dimensionality Reduction on SPD Manifolds: The Emergence of
Geometry-Aware Methods

Dimensionality Reduction on SPD Manifolds: The Emergence of Geometry-Aware Methods

20 May 2016

Mehrtash Harandi

Mathieu Salzmann

Richard I. Hartley

Papers citing "Dimensionality Reduction on SPD Manifolds: The Emergence of Geometry-Aware Methods"

17 / 17 papers shown

Title
MPEC: Manifold-Preserved EEG Classification via an Ensemble of Clustering-Based Classifiers Shermin Shahbazi Mohammad-Reza Nasiri Majid Ramezani 45 0 0 30 Apr 2025
SPD Learning for Covariance-Based Neuroimaging Analysis: Perspectives, Methods, and Challenges Ce Ju Reinmar J. Kobler Antoine Collas M. Kawanabe Cuntai Guan Bertrand Thirion 53 0 0 26 Apr 2025
Discriminative Supervised Subspace Learning for Cross-modal Retrieval Haoming Zhang Xiaojun Wu Tianyang Xu Dongling Zhang 20 0 0 26 Jan 2022
Collaborative Representation for SPD Matrices with Application to Image-Set Classification Li-li Chu Rui Wang Xiaojun Wu 22 1 0 22 Jan 2022
Nested Hyperbolic Spaces for Dimensionality Reduction and Hyperbolic NN Design Xiran Fan Chun-Hao Yang B. Vemuri 48 18 0 03 Dec 2021
Temporal-attentive Covariance Pooling Networks for Video Recognition Zilin Gao Qilong Wang Bingbing Zhang Q. Hu P. Li 21 25 0 27 Oct 2021
Learning Chebyshev Basis in Graph Convolutional Networks for Skeleton-based Action Recognition H. Sahbi GNN 35 0 0 12 Apr 2021
Multiple Riemannian Manifold-valued Descriptors based Image Set Classification with Multi-Kernel Metric Learning Rui Wang Xiaojun Wu J. Kittler 27 30 0 06 Aug 2019
Manifold-regression to predict from MEG/EEG brain signals without source modeling D. Sabbagh Pierre Ablin Gaël Varoquaux Alexandre Gramfort Denis A. Engemann 22 58 0 04 Jun 2019
Analyzing Dynamical Brain Functional Connectivity As Trajectories on Space of Covariance Matrices Mengyu Dai Zhengwu Zhang Anuj Srivastava 20 31 0 10 Apr 2019
LGLG-WPCA: An Effective Texture-based Method for Face Recognition Chaorong Li Wei Huang Huafu Chen CVBM 16 0 0 20 Nov 2018
A Simple Riemannian Manifold Network for Image Set Classification Rui Wang Xiaojun Wu J. Kittler 23 3 0 27 May 2018
Learning representations for multivariate time series with missing data using Temporal Kernelized Autoencoders F. Bianchi L. Livi Karl Øyvind Mikalsen Michael C. Kampffmeyer Robert Jenssen AI4TS 30 11 0 09 May 2018
Learning a Robust Representation via a Deep Network on Symmetric Positive Definite Manifolds Zhi Gao Yuwei Wu Xingyuan Bu Yunde Jia 36 32 0 17 Nov 2017
Dimensionality Reduction on Grassmannian via Riemannian Optimization: A Generalized Perspective Tianci Liu Zelin Shi Yunpeng Liu 17 0 0 17 Nov 2017
Hierarchical Gaussian Descriptors with Application to Person Re-Identification Tetsu Matsukawa Takahiro Okabe Einoshin Suzuki Yoichi Sato 24 34 0 14 Jun 2017
Learning an Invariant Hilbert Space for Domain Adaptation Samitha Herath Mehrtash Harandi Fatih Porikli 18 107 0 25 Nov 2016