3 papers
cs.LG2024
Subspace Clustering in Wavelet Packets Domain
Ivica Kopriva, Damir Sersic
Subspace clustering (SC) algorithms utilize the union of subspaces model to cluster data points according to the subspaces from which they are drawn. To better address separability…
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…
cs.CV2024
Multilayer Graph Approach to Deep Subspace Clustering
Lovro Sindičić, Ivica Kopriva
Deep subspace clustering (DSC) networks based on self-expressive model learn representation matrix, often implemented in terms of fully connected network, in the embedded space. Af…