theorod93 / multiView_manifoldLearning
Contains the code of Multi-view Data Visualisation via Manifold Learning paper
☆6Updated 5 months ago
Related projects: ⓘ
- Selective Sampling-based Scalable Sparse Subspace Clustering (NeurIPS 19')☆13Updated 4 years ago
- Matlab toolbox for tensor regressions☆27Updated 2 years ago
- Multi-view dimensionality reduction using tensor canonical correlation analysis☆10Updated 6 years ago
- Convex Nonnegative Matrix Factorization with Adaptive Graph for Unsupervised Feature Selection☆16Updated last year
- The code of SMVSC☆16Updated 5 years ago
- iADMM for a low-rank representation optimization problem☆12Updated 3 years ago
- Online Streaming Feature Selection☆24Updated 2 weeks ago
- ☆15Updated 11 years ago
- Implementation of "Deep Fuzzy K-Means with Adaptive Loss and Entropy Regularization", IEEE Transactions on Fuzzy Systems.☆31Updated 2 years ago
- Python implementation of PCA on graph ECTD☆11Updated 3 months ago
- Code for our NeurIPS 2018 paper titled "Low-Rank Tucker Decomposition of Large Tensors Using TensorSketch"☆24Updated last year
- [Pattern Recognition, 2021]Pairwise Dependence-based Unsupervised Feature Selection☆11Updated 3 years ago
- Manifold Alignment code for Matlab☆10Updated 8 years ago
- Multi-view Spectral Clustering on Conflicting Views☆15Updated 7 years ago
- An Internal Validity Index Based on Density-Involved Distance☆16Updated 2 years ago
- Tensorflow implementation for Deep Cognitive Subspace Clustering (DeepCogSC)☆11Updated 4 years ago
- paper code with respect to classification, clustering and etc.☆33Updated last year
- Perform tensor-on-tensor regression☆18Updated 5 years ago
- Randomized Tensor Decompositions☆29Updated 7 years ago
- ☆13Updated 7 years ago
- Implementation of 'Large-Scale Multi-View Spectral Clustering via Bipartite Graph'☆34Updated 8 years ago
- 🤿 Implementation of doubly stochastic deep Gaussian Process using GPflow and TensorFlow 2.0☆26Updated 7 months ago
- This repository contains codes for performing some clustering techniques including KMeans and Sparse Subspace Clustering☆18Updated 3 years ago
- Boosted Sparse and Low-Rank Tensor Regression☆12Updated 5 years ago
- Subspace Clustering Library☆50Updated 8 years ago
- code of the CVPR 2020 paper "Learning to Optimize on SPD Manifolds"☆13Updated 4 years ago
- REGAIN (Regularised Graphical Inference)☆28Updated last year
- Least Squares Regression for subspace clustering☆9Updated 6 years ago
- Grassmannian Optimization for Tensor Completion and Tracking in the t-SVD Algebra☆9Updated 4 years ago
- Data sets for multi-view learning.☆80Updated 4 years ago