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

IMTSL - Incremental and Multi-feature Tensor Subspace Learning

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

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

Benchmark of online PCA algorithms

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

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

Dimension Reduction and Estimation Methods

(Multiblock) Partial Least Squares Regression for Python

Matlab implementation of L0 motivated low-rank sparse subspace clustering

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

MATLAB implementation of "Nearly Optimal Robust Subspace Tracking", ICML 2018

Working on developing novel algorithms for Person Re-identification, which is the task of identifying the same person across camera networks with non-overlapping views, using Subspace Learning (Metric Learning). Primarily working on developing cross-view semantic learning algorithms,jointly learning common basis matrices,the view-specific semantic projection matrices and association functions for person re-id. Trying to generalize the approach for multi-view analysis to seek a set of linear semantic transforms and relationship mapping functions simultaneously. Working on the VIPeR dataset preliminarily.

repository containing codes of distributed pca