subspace-learning

Low-Rank and Sparse Tools for Background Modeling and Subtraction in Videos

Model reduction library with an emphasis on large scale parallelism and linear subspace methods

Matlab implementation of multi-view low-rank sparse subspace clustering

Dimension Reduction and Estimation Methods

IMTSL - Incremental and Multi-feature Tensor Subspace Learning

OnLine Low-rank Subspace tracking by TEnsor CP Decomposition in Matlab: Version 1.0.1

(Multiblock) Partial Least Squares Regression for Python

Code for the ICLR2022 paper on Subspace Regularization for few-shot class incremental image classification

Benchmark of online PCA algorithms

Streaming, Memory-Limited, r-truncated SVD Revisited!

[IEEE TSP 2021] “Robust Subspace Tracking with Missing Data and Outliers: Novel Algorithm with Convergence Guarantee”. IEEE Transactions on Signal Processing, 2021.

source code for MvBLS paper

MATLAB implementation of "Nearly Optimal Robust Subspace Tracking", ICML 2018. Longer version to appear in IEEE Journal of Selected Areas in Information Theory, 2020.

Matlab implementation of L0 motivated low-rank sparse subspace clustering

Dual Shared-Specific Multiview Subspace Clustering

models/scripts for subspace learning written in MATLAB (2018 Yau Award CS Bronze)

We use self-expressive layer to learn the affinity matrix of the hidden space of a generator, and we found subspace in GAN. Also we propsed a subspace-based high-fidelity GAN inversion model.

Subspace Graph Physics

Multimodal Subspace Support Vector Data Description

Subspace Support Vector Data Description