FurongHuang / ConvDicLearnTensorFactor
Tensor methods have emerged as a powerful paradigm for consistent learning of many latent variable models such as topic models, independent component analysis and dictionary learning. Model parameters are estimated via CP decomposition of the observed higher order input moments. However, in many domains, additional invariances such as shift inva…
☆17Updated 7 years ago
Related projects ⓘ
Alternatives and complementary repositories for ConvDicLearnTensorFactor
- matlab code for convex optimization based tensor decomposition (completion/denoising)☆42Updated 9 years ago
- Fast Low-Rank Matrix Learning with Nonconvex Regularization. Matlab Code☆23Updated 5 years ago
- Matlab code for Low rank Matrix Factorization with AMP☆14Updated 9 years ago
- A matlab toolbox to perform Wasserstein Dictionary Learning or NMF☆31Updated 8 years ago
- Robust PCA in Python☆37Updated 11 years ago
- Multi-scale Low Rank Matrix Decomposition Code☆38Updated 8 years ago
- Matlab implementations of fast algorithms for nonnegative matrix and tensor factorizations☆57Updated 10 years ago
- Tensor Train Rank-1 decomposition☆19Updated 5 years ago
- MATLAB implementation of AdaGrad, Adam, Adamax, Adadelta etc.☆33Updated 4 years ago
- A matlab library for CUR matrix decomposition☆26Updated 7 years ago
- IMTSL - Incremental and Multi-feature Tensor Subspace Learning☆34Updated 3 years ago
- Code for Robust Kronecker-Decomposable Component Analysis (ICCV 2017)☆11Updated 2 years ago
- Matlab code for implementing Nonnegativity Constrained Autoencoder (NCAE) for Deep Learning.☆13Updated 9 years ago
- CUDA extension for the SPORCO project☆17Updated 3 years ago
- Generative Adversarial Nets for Matlab☆36Updated 7 years ago
- A lightweight accelerated proximal-gradient package for matlab☆32Updated 8 years ago
- Sparse dictionary learning☆29Updated 10 years ago
- Code for a recurrent neural network (RNN) created by unfolding the sequential ISTA (SISTA) algorithm for sequential sparse coding☆15Updated 7 years ago
- A MATLAB implementation of Auto-Encoding Variational Bayes☆44Updated 7 years ago
- ☆9Updated 9 years ago
- A CNN practical focusing on image to image regression☆28Updated 8 years ago
- A MATLAB project containing many popular / existing constrained clustering algorithms☆27Updated 6 years ago
- MATLAB code of the paper "Sparse Representation and Least Squares-Based Classification in Face Recognition", EUSIPCO 2014☆16Updated 8 years ago
- Matlab implementation of the paper "Learning fast approximations of sparse coding"☆32Updated 8 years ago
- Fast algorithms for sparse principal component analysis☆16Updated 8 years ago
- Code accompanying the paper M. Sorel, F. Sroubek, "Fast convolutional sparse coding using matrix inversion lemma", Digital Signal Process…☆31Updated 7 years ago
- KMeans for big data using preconditioning and sparsification, Matlab implementation. Aka k-means☆56Updated 4 years ago
- A MATLAB Toolbox for High-order Tensor Data Decompositions and Analysis☆20Updated 6 years ago
- modular implementation of new algorithm☆13Updated 10 years ago
- Convolutional Deep Belief Network (Honglak Lee's ICML paper)☆23Updated 8 years ago