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

IMTSL - Incremental and Multi-feature Tensor Subspace Learning

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

Dimension Reduction and Estimation Methods

Benchmark of online PCA algorithms

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

(Multiblock) Partial Least Squares Regression for Python

Matlab implementation of L0 motivated low-rank sparse subspace clustering

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

Dual Shared-Specific Multiview Subspace Clustering

source code for MvBLS paper

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

source code for SDSPCAAN

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.

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.

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

Subspace Graph Physics

Subspace Support Vector Data Description

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

repository containing codes of distributed pca

Multimodal Subspace Support Vector Data Description

Ellipsoidal Subspace Support Vector Data Description

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