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 8 years ago
Alternatives and similar repositories for ConvDicLearnTensorFactor:
Users that are interested in ConvDicLearnTensorFactor are comparing it to the libraries listed below
- matlab code for convex optimization based tensor decomposition (completion/denoising)☆45Updated 10 years ago
- Fast Low-Rank Matrix Learning with Nonconvex Regularization. Matlab Code☆22Updated 5 years ago
- Matlab implementations of fast algorithms for nonnegative matrix and tensor factorizations☆58Updated 10 years ago
- A matlab toolbox to perform Wasserstein Dictionary Learning or NMF☆32Updated 8 years ago
- IMTSL - Incremental and Multi-feature Tensor Subspace Learning☆35Updated 4 years ago
- Multi-scale Low Rank Matrix Decomposition Code☆40Updated 9 years ago
- A MATLAB implementation of Auto-Encoding Variational Bayes☆46Updated 8 years ago
- Code for a recurrent neural network (RNN) created by unfolding the sequential ISTA (SISTA) algorithm for sequential sparse coding☆14Updated 8 years ago
- Robust PCA in Python☆36Updated 11 years ago
- Tensor Train Rank-1 decomposition☆19Updated 6 years ago
- CUDA extension for the SPORCO project☆18Updated 3 years ago
- A MATLAB project containing many popular / existing constrained clustering algorithms☆27Updated 7 years ago
- A lightweight accelerated proximal-gradient package for matlab☆32Updated 8 years ago
- Codes related to L1-norm minimization using homotopy☆36Updated 11 years ago
- MATLAB Tensor Tools☆87Updated 4 years ago
- MATLAB code of the paper "Sparse Representation and Least Squares-Based Classification in Face Recognition", EUSIPCO 2014☆16Updated 8 years ago
- Code for Robust Kronecker-Decomposable Component Analysis (ICCV 2017)☆11Updated 2 years ago
- Matlab/Octave toolbox for nonconvex optimization☆50Updated 8 years ago
- Matlab implementation of the paper "Learning fast approximations of sparse coding"☆32Updated 9 years ago
- Generative Adversarial Nets for Matlab☆36Updated 8 years ago
- A CNN practical focusing on image to image regression☆28Updated 9 years ago
- Matlab code for implementing Nonnegativity Constrained Autoencoder (NCAE) for Deep Learning.☆13Updated 9 years ago
- MATLAB implementation of AdaGrad, Adam, Adamax, Adadelta etc.☆33Updated 4 years ago
- ☆9Updated 9 years ago
- Convolutional Deep Belief Network (Honglak Lee's ICML paper)☆23Updated 8 years ago
- Matlab code for Low rank Matrix Factorization with AMP☆16Updated 9 years ago
- LIBS2ML: A Library for Scalable Second Order Machine Learning Algorithms☆10Updated 3 years ago
- A matlab library for CUR matrix decomposition☆26Updated 7 years ago
- A MATLAB Toolbox for High-order Tensor Data Decompositions and Analysis☆20Updated 7 years ago
- Code for "Modeling Sparse Deviations for Compressed Sensing using Generative Models", ICML 2018☆24Updated 6 years ago