Tensor-SVD Based Graph Learning for Multi-View Subspace Clustering
Tensor-SVD Based Graph Learning for Multi-View Subspace Clustering
Low-rank representation based on tensor-Singular Value Decomposition (t-SVD) has achieved impressive results for multi-view subspace clustering, but it does not well deal with noise and illumination changes embedded in multi-view data. The major reason is that all the singular values have the same contribution in tensor-nuclear norm based on t-SVD, …