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

Benchmark of online PCA algorithms

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

(Multiblock) Partial Least Squares Regression for Python

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

Matlab implementation of L0 motivated low-rank sparse subspace clustering

Dual Shared-Specific Multiview Subspace Clustering

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.

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

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

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 Support Vector Data Description

Multimodal Subspace Support Vector Data Description

We propose a global and local feature transformation method for PRID. The global feature transformation matrix projects the data from different cameras to a common space. We further hypothesize that a latent basis matrix can be learnt in this space which represents the shared structure between different cameras using matrix factorization.

source code for SDSPCAAN

Subspace Graph Physics

Ellipsoidal Subspace Support Vector Data Description

The code for prototype selection and instance ranking using matrix decomposition and subspace learning

repository containing codes of distributed pca

We implement some sparse representation based face recognition algorithms here, including LRC, SRC, CRC, ESRC and etc.