Alternatives and similar repositories for recursive-nystrom

Users that are interested in recursive-nystrom are comparing it to the libraries listed below

• csliangdu / FSASL
  An unsupervised feature selection algorithm with adaptive structure learning. This paper has been published as a research paper in KDD 20…
  ☆43Updated 7 years ago
• ehosseiniasl / Nonnegativity-Constrained-Autoencoder-NCAE
  Matlab code for implementing Nonnegativity Constrained Autoencoder (NCAE) for Deep Learning.
  ☆13Updated 9 years ago
• gnaixgnaw / CSP
  Spectral Clustering for Complex Graphs
  ☆39Updated 11 years ago
• kbatseli / TTr1SVD
  Tensor Train Rank-1 decomposition
  ☆19Updated 6 years ago
• lorisbaz / Multiview-learning
  Multi-view Learning with Vector-valued RKHS - ICML 2013
  ☆17Updated 10 years ago
• tiepvupsu / DICTOL
  DICTOL - A Dictionary Learning Toolbox in Matlab and Python
  ☆193Updated 4 years ago
• xyh2016 / MTLF
  A Unified Framework for Metric Transfer Learning
  ☆17Updated 7 years ago
• peiyunh / mat-vae
  A MATLAB implementation of Auto-Encoding Variational Bayes
  ☆46Updated 8 years ago
• bruno-31 / GAN-manifold-regularization
  This is the code for our paper: Semi-Supervised Learning With GANs: Revisiting Manifold Regularization (ICLR 2018)
  ☆44Updated 6 years ago
• jejjohnson / manifold_learning
  A repository with work-in-progress code: Schroedinger Eigenmaps for Manifold Learning
  ☆12Updated 7 years ago
• jiayuzhou / MALSAR
  Multi-task learning via Structural Regularization
  ☆134Updated 4 years ago
• sjtrny / SubKit
  Subspace Clustering Library
  ☆52Updated 9 years ago
• zzz123xyz / MVCSS
  %% Multi-View Clustering and Feature Learning via Structured Sparsity
  ☆15Updated 9 years ago
• xwcao / LowRankTRN
  Code for the paper "Tensor Regression Networks with various Low-Rank Tensor Approximations"
  ☆35Updated 7 years ago
• areslp / matlab
  ☆180Updated last year
• abhinav4192 / sparse-subspace-clustering-python
  Python implementation of Sparse Subspace Clustering algorithm.
  ☆79Updated 7 years ago
• dweiiiiiiiiii / Clustering
  ☆20Updated 6 years ago
• rflamary / nonconvex-optimization
  Matlab/Octave toolbox for nonconvex optimization
  ☆50Updated 9 years ago
• xinwangliu / Multi-Kernel-Extreme-Learning-Machine
  ☆18Updated 9 years ago
• wangxu-scu / DeepCCA
  Deep Canonical Correlation Analysis implemented with tensorflow
  ☆14Updated 7 years ago
• kunzhan / MVGL
  TCyb 2018: Graph learning for multiview clustering
  ☆39Updated 6 years ago
• ryotat / tensor
  matlab code for convex optimization based tensor decomposition (completion/denoising)
  ☆44Updated 10 years ago
• diehl / Incremental-SVM-Learning-in-MATLAB
  This MATLAB package implements the methods for exact incremental/decremental SVM learning, regularization parameter perturbation and kern…
  ☆74Updated 13 years ago
• panji530 / Deep-subspace-clustering-networks
  ☆210Updated 4 years ago
• nishantrai18 / MultiViewNMF
  Partial Multi View Clustering via NMF
  ☆34Updated 6 years ago
• poppinace / TAISL
  (ICCV'17) When Unsupervised Domain Adaptation Meets Tensor Representations
  ☆59Updated 8 years ago
• tbuehler / sparsePCA
  Sparse principal component analysis as a nonlinear eigenproblem
  ☆17Updated 4 years ago
• Coolnesss / fada-pytorch
  PyTorch implementation of https://arxiv.org/abs/1711.02536
  ☆12Updated 7 years ago
• JHUVisionLab / SSC-using-ADMM
  Sparce Subspace Clustering (SSC) is a subspace clustering algorithm that uses sparse vector representation, convex optimization, and spec…
  ☆44Updated 8 years ago
• OsmanMalik / tucker-tensorsketch
  Code for our NeurIPS 2018 paper titled "Low-Rank Tucker Decomposition of Large Tensors Using TensorSketch"
  ☆25Updated 2 years ago