research
∙
07/20/2022
Revisiting data augmentation for subspace clustering
Subspace clustering is the classical problem of clustering a collection ...
share
research
∙
03/19/2021
Beyond Linear Subspace Clustering: A Comparative Study of Nonlinear Manifold Clustering Algorithms
Subspace clustering is an important unsupervised clustering approach. It...
research
∙
07/22/2020
Simplex-Structured Matrix Factorization: Sparsity-based Identifiability and Provably Correct Algorithms
In this paper, we provide novel algorithms with identifiability guarante...
research
∙
05/17/2019
Neither Global Nor Local: A Hierarchical Robust Subspace Clustering For Image Data
In this paper, we consider the problem of subspace clustering in presenc...
research
∙
02/21/2018