3 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…
cs.LG2024
Robust Kernel Sparse Subspace Clustering
Ivica Kopriva
Kernel methods are applied to many problems in pattern recognition, including subspace clustering (SC). That way, nonlinear problems in the input data space become linear in mapped…