zhanglabtools / DSMO.courseLinks
Data Science and Matrix Optimization course
☆74Updated 5 years ago
Alternatives and similar repositories for DSMO.course
Users that are interested in DSMO.course are comparing it to the libraries listed below
Sorting:
- Geometric low-rank tensor completion for color image inpainting.☆45Updated 4 years ago
- Matrix and Tensor Completion for Background Model Initialization☆112Updated 4 years ago
- Efficient Nonconvex Regularized Tensor Completion with Structure-aware Proximal Iterations. ICML-2019.☆16Updated 6 years ago
- Tensor Robust Principal Component Analysis (TRPCA) based on a new tensor nuclear norm☆107Updated 4 years ago
- dlADMM: Deep Learning Optimization via Alternating Direction Method of Multipliers☆169Updated 2 years ago
- Code for Implicit Regularization in Deep Matrix Factorization.☆39Updated last year
- PyTorch implementation of Robust Non-negative Tensor Factorization appearing in N. Dey, et al., "Robust Non-negative Tensor Factorization…☆20Updated 2 years ago
- OnLine Low-rank Subspace tracking by TEnsor CP Decomposition in Matlab: Version 1.0.1☆38Updated 3 years ago
- Python implementation of Sparse Subspace Clustering algorithm.☆82Updated 7 years ago
- Matlab code of Bayesian CP Factorization for Tensor Completion☆37Updated 9 years ago
- code of KBR_TC and KBR_RPCA☆10Updated 8 years ago
- Subspace Clustering Library☆51Updated 9 years ago
- Tensor Robust Principal Component Analysis via t-SVD☆14Updated 7 years ago
- some important properties on random matrix theory and its applications in multiple areas☆110Updated 7 years ago
- Implementation for the paper "K-Multiple-Means: A Multiple-Means Clustering Method with Specified K Clusters,", which has been accepted b…☆84Updated 4 years ago
- An unsupervised feature selection algorithm with adaptive structure learning. This paper has been published as a research paper in KDD 20…☆43Updated 8 years ago
- A package for Multiple Kernel Learning in Python☆131Updated 2 years ago
- 张量分解算法整理☆62Updated 10 years ago
- Robust Non-Negative Matrix Factorization☆17Updated 3 years ago
- Multi-task learning via Structural Regularization☆136Updated 5 years ago
- Sparce Subspace Clustering (SSC) is a subspace clustering algorithm that uses sparse vector representation, convex optimization, and spec…☆45Updated 9 years ago
- DICTOL - A Dictionary Learning Toolbox in Matlab and Python☆192Updated 4 years ago
- A fresh approach to deep learning written in MATLAB☆24Updated 3 years ago
- tensor completion/tensor recovery from Gaussian measurements by tensor nuclear norm minimization☆31Updated 4 years ago
- The collection of tensor decomposition, completion and recovery papers and codes.☆54Updated 6 years ago
- Code for our NeurIPS 2018 paper titled "Low-Rank Tucker Decomposition of Large Tensors Using TensorSketch"☆25Updated 2 years ago
- Iteratively Reweighted Nuclear Norm for Nonconvex Nonsmooth Low-rank Minimization☆25Updated 4 years ago
- Implemented Laplacian Eigenmaps☆20Updated 4 years ago
- Riemannian stochastic optimization algorithms: Version 1.0.3☆67Updated 3 years ago
- Matlab Toolbox for Dimensionality Reduction☆39Updated 11 years ago