cnmusco / recursive-nystrom
Recursive importance sampling for Nyström kernel matrix approximation
☆14Updated 7 years ago
Alternatives and similar repositories for recursive-nystrom:
Users that are interested in recursive-nystrom are comparing it to the libraries listed below
- Spectral Clustering for Complex Graphs☆39Updated 10 years ago
- Multi-view Learning with Vector-valued RKHS - ICML 2013☆17Updated 10 years ago
- This is the code for our paper: Semi-Supervised Learning With GANs: Revisiting Manifold Regularization (ICLR 2018)☆44Updated 5 years ago
- NonNegative Matrix Factorization with Low Rank via the Alternating Direction Method of Multipliers☆9Updated 7 years ago
- Matlab code for implementing Nonnegativity Constrained Autoencoder (NCAE) for Deep Learning.☆13Updated 9 years ago
- A MATLAB implementation of Auto-Encoding Variational Bayes☆45Updated 8 years ago
- MATLAB code of the paper "Sparse Representation and Least Squares-Based Classification in Face Recognition", EUSIPCO 2014☆16Updated 8 years ago
- Generative Adversarial Nets for Matlab☆36Updated 8 years ago
- Code for the paper "Tensor Regression Networks with various Low-Rank Tensor Approximations"☆35Updated 7 years ago
- Tensor Train Rank-1 decomposition☆19Updated 5 years ago
- PyTorch implementation of Deep Spectral Clustering paper on a toy dataset☆24Updated 6 years ago
- 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
- Subspace clustering through the deep learning approach☆22Updated 8 years ago
- GitHub repository for "Building Deep Networks on Grassmann Manifolds", AAAI 2018.☆25Updated 3 years ago
- ☆20Updated 6 years ago
- Subspace Clustering Library☆52Updated 9 years ago
- Tensorflow Implementation of "Large-scale Optimal Transport and Mapping Estimation"(ICLR2018/NIPS 2017 OTML)☆19Updated 6 years ago
- Matlab/Octave toolbox for nonconvex optimization☆50Updated 8 years ago
- ☆18Updated 8 years ago
- Sparse principal component analysis as a nonlinear eigenproblem☆16Updated 4 years ago
- Bayesian (Semi-)Supervised Multilabel Learning☆11Updated 7 years ago
- Bayesian Convolutional Neural Networks with Bernoulli Approximate Variational Inference, Gal et al. 2015☆36Updated 6 years ago
- A repository with work-in-progress code: Schroedinger Eigenmaps for Manifold Learning☆12Updated 7 years ago
- matlab code for convex optimization based tensor decomposition (completion/denoising)☆43Updated 10 years ago
- Lasso with ADMM in Python/MPI☆29Updated 8 years ago
- A Unified Framework for Metric Transfer Learning☆17Updated 7 years ago
- Infinite Gaussian Mixture Model / Variational EM☆12Updated 11 years ago
- Gaussian processes in TensorFlow with modifications to allow inter-domain inducing variables☆13Updated 7 years ago
- %% Multi-View Clustering and Feature Learning via Structured Sparsity☆15Updated 8 years ago
- Sparse Representation-based Classification, a classified algorithm in Pattern Recognition area☆17Updated 10 years ago