papers
Publications (3)
cs.AI2022
Robust Manifold Nonnegative Tucker Factorization for Tensor Data Representation
Jianyu Wang, Linruize Tang, Jie Chen +1
Nonnegative Tucker Factorization (NTF) minimizes the euclidean distance or Kullback-Leibler divergence between the original data and its low-rank approximation which often suffers…
eess.IV2024
Unrolling Plug-and-Play Network for Hyperspectral Unmixing
Min Zhao, Linruize Tang, Jie Chen
Deep learning based unmixing methods have received great attention in recent years and achieve remarkable performance. These methods employ a data-driven approach to extract struct…
cs.LG2024
Wasserstein Nonnegative Tensor Factorization with Manifold Regularization
Jianyu Wang, Linruize Tang
Nonnegative tensor factorization (NTF) has become an important tool for feature extraction and part-based representation with preserved intrinsic structure information from nonnega…