Alternatives and similar repositories for tucker_compression:

Users that are interested in tucker_compression are comparing it to the libraries listed below

• jamiezeminzhang / Tensor_Completion_and_Tensor_RPCA
  ☆38Updated 8 years ago
• andrewssobral / imtsl
  IMTSL - Incremental and Multi-feature Tensor Subspace Learning
  ☆35Updated 3 years ago
• xuezc / LRSD-TNNSR
  This provides an MATLAB code implementation for the paper "Low-rank and Sparse Matrix Decomposition via the Truncated Nuclear Norm and a …
  ☆27Updated 6 years ago
• kbatseli / TTr1SVD
  Tensor Train Rank-1 decomposition
  ☆19Updated 5 years ago
• chenlongxiabc / IRTPCAcode
  The matlab code is for the paper ''Improved Robust Tensor Principal Component Analysis via Low Rank Core Matrix''.
  ☆16Updated 6 years ago
• huynhlvd / corpca
  Compressive Online Robust Principal Component Analysis with Multiple Prior Information
  ☆7Updated 6 years ago
• madhavcsa / Low-Rank-Tensor-Completion
  A Dual Framework for Low-rank Tensor Completion
  ☆17Updated 5 years ago
• hiroyuki-kasai / OLSTEC
  OnLine Low-rank Subspace tracking by TEnsor CP Decomposition in Matlab: Version 1.0.1
  ☆36Updated 2 years ago
• ryotat / tensor
  matlab code for convex optimization based tensor decomposition (completion/denoising)
  ☆43Updated 10 years ago
• minhnhat93 / lfa_sc
  Matlab implementation of the paper "Learning fast approximations of sparse coding"
  ☆32Updated 9 years ago
• xueshengke / Tensor-TNNR
  ☆19Updated 6 years ago
• jbhuang0604 / SelfSimSR
  Exploiting Self-Similarities for Single Frame Super-Resolution (ACCV 2010)
  ☆65Updated 10 years ago
• hiroyuki-kasai / ClassifierToolbox
  A MATLAB toolbox for classifier: Version 1.0.7
  ☆85Updated 2 years ago
• stephenbeckr / fastRPCA
  Matlab code for all variants of robust PCA and SPCP
  ☆119Updated 3 years ago
• pirofti / ksvd_reg
  Regularized K-SVD Algorithm
  ☆43Updated 7 years ago
• JanSochman / TVdenoising
  Implementation of TV denoising algorithms from "A. Chambolle, T. Pock. A First-Order Primal-Dual Algorithm for Convex Problems with Appli…
  ☆27Updated 11 years ago
• canyilu / Tensor-Robust-Principal-Component-Analysis-TRPCA
  Tensor Robust Principal Component Analysis (TRPCA) based on a new tensor nuclear norm
  ☆93Updated 3 years ago
• epfl-lts2 / unlocbox
  A Matlab convex optimization toolbox using proximal splitting methods
  ☆53Updated last year
• andrewssobral / mtt
  MATLAB Tensor Tools
  ☆86Updated 3 years ago
• canyilu / Iteratively-Reweighted-Nuclear-Norm-Minimization
  Iteratively Reweighted Nuclear Norm for Nonconvex Nonsmooth Low-rank Minimization
  ☆24Updated 3 years ago
• andrewssobral / TDALAB
  A MATLAB Toolbox for High-order Tensor Data Decompositions and Analysis
  ☆20Updated 6 years ago
• qbzhao / BRTF
  Matlab Code of Bayesian Robust Tensor Factorization
  ☆11Updated 8 years ago
• jhonygiraldo / Multi-Layer-RPCA
  Method Multi-Layer Robust Principal Component Analysis. This method was introduced in the paper Camera-Trap Images Segmentation using Mul…
  ☆15Updated 7 years ago
• EvZissel / LoBCoD
  An Algorithm for performing pursuit and dictionary update of the Convolutional Sparse Coding (CSC) model
  ☆31Updated 5 years ago
• miliadis / SRC-RLS
  MATLAB code of the paper "Sparse Representation and Least Squares-Based Classification in Face Recognition", EUSIPCO 2014
  ☆16Updated 8 years ago
• canyilu / Tensor-tensor-product-toolbox
  tensor-tensor product toolbox
  ☆79Updated 3 years ago
• xqpinitial / Robust-PCA-RPCA
  To implement movement and background segmentation in this regard, a novel solution of obtaining the movement of people and complex backgr…
  ☆14Updated 3 years ago
• EvanZhuang / MRI-Reconstruction-with-Sparse-Optimization
  Magnetic resonance imaging (MRI) images are known to be sparse. This is an implementation using non-convex penalty function that encourag…
  ☆19Updated 5 years ago
• andrewssobral / ostd
  Online Stochastic Tensor Decomposition for Background Subtraction in Multispectral Video Sequences
  ☆25Updated 3 years ago