2021
Learning a Self-Expressive Network for Subspace Clustering
CVPR 2021poster
State-of-the-art subspace clustering methods are based on the self-expressive model, which represents each data point as a linear combination of other data points. However, such methods are designed for a finite sample dataset and lack the ability to generalize to out-of-sample data. Moreover, since…