chenchkx / RiemannianCovDsLinks
[Pattern Recognition, 2020] Covariance Descriptors on a Gaussian Manifold and their Application to Image Set Classification
☆12Updated 3 years ago
Alternatives and similar repositories for RiemannianCovDs
Users that are interested in RiemannianCovDs are comparing it to the libraries listed below
Sorting:
- Four commonly used operations on the symmetric positive definite manifold☆27Updated 3 years ago
- GitHub repository for "A Riemannian Network for SPD Matrix Learning", AAAI 2017.☆55Updated 4 years ago
- This is a matlab implementation of our article, titled "DreamNet: A Deep Riemannian Manifold Network for SPD Matrix Learning", which has …☆14Updated 2 years ago
- Implementation of Deep SPDNet in pytorch☆64Updated last year
- This is an unofficial PyTorch implementation for paper "A Riemannian Network for SPD Matrix Learning", AAAI 2017☆38Updated 6 years ago
- Visual Domain Adaptation with Manifold Embedded Distribution Alignment (ACM MM'18)☆21Updated 6 years ago
- ☆10Updated 3 years ago
- This is a matlab implementation of our article, named "SymNet: A Simple Symmetric Positive Definite Manifold Deep Learning Method for Ima…☆15Updated 4 years ago
- Code for the paper "Neural Architecture Search of SPD Manifold Networks" IJCAI 2021☆14Updated 3 years ago
- Implementation of "Deep Fuzzy K-Means with Adaptive Loss and Entropy Regularization", IEEE Transactions on Fuzzy Systems.☆34Updated 3 years ago
- ManifoldNet Paper Implementation for SPD(n)☆11Updated 3 years ago
- Scripts for the paper: 2DPCA with L1-norm for simultaneously robust and sparse modelling.☆17Updated 5 years ago
- This is the official GitHub repo for "Deep Optimal Transport for Domain Adaptation on SPD Manifolds"☆10Updated 2 years ago
- Official Pytorch Implementation of the paper Dynamic Adaptive Spatio-temporal Graph Convolution for fMRI Modelling☆18Updated 2 years ago
- A Multi-Kernel domain adaptation method for unsupervised transfer learning on cross-source and cross-region remote sensing data classifi…☆12Updated 5 years ago
- Feature selection: Minimal Redundancy and Maximal Relevance (mRMR)☆24Updated 10 years ago
- [IEEE TMI 2024] Contrastive Graph Pooling for Explainable Classification of Brain Networks☆21Updated 4 months ago
- A pytorch implementation of TSK fuzzy sytems.☆17Updated 5 years ago
- This is the implementation for the paper "Empirical Evaluation of Data Augmentations for Biobehavioral Time Series Data with Deep Learnin…☆12Updated 2 years ago
- Efficient Transfer Learning with Meta Update for Cross Subject EEG Classification☆42Updated last year
- This is an EEG Signals Classification based on Bayesian Convolutional Neural Network (Bayesian CNNs) via Variational Inference.☆30Updated 4 years ago
- A Benchmark to Study Negative Transfer https://ieeexplore.ieee.org/document/9938381☆17Updated 2 years ago
- The model for the paper “Spatio-Temporal-Spectral Hierarchical Graph Convolutional Network With Semisupervised Active Learning for Patien…☆17Updated 4 years ago
- ☆51Updated 3 years ago
- ☆15Updated 6 years ago
- An unsupervised feature selection algorithm with adaptive structure learning. This paper has been published as a research paper in KDD 20…☆43Updated 7 years ago
- Multi-View Spatial-Temporal Graph Convolutional Networks with Domain Generalization for Sleep Stage Classification.☆77Updated 3 months ago
- Official implementation of the paper "Towards Multi-resolution Spatiotemporal Graph Learning for Medical Time Series Classification".☆18Updated 5 months ago
- Code and reuslts accompanying the NeurIPS 2022 paper with the title SPD domain-specific batch normalization to crack interpretable unsupe…☆58Updated 2 years ago
- Multi-view dimensionality reduction using tensor canonical correlation analysis☆10Updated 7 years ago