2 papers
cs.LG2026
Nonlinear mixture model motivated subspace clustering
Ivica Kopriva
We derive the linear union-of-subspaces (UoS) model for subspace clustering (SC) from the nonlinear mixture model (NMM) used in blind source separation (BSS) to represent a D-dimen…
cs.LG2025
Data-Adaptive Low-Rank Sparse Subspace Clustering
Ivica Kopriva
Low-rank sparse subspace clustering (LRSSC) algorithms built on self-expressive model effectively capture both the global and local structure of the data. However, existing solutio…