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cs.LG2023
Federated Multilinear Principal Component Analysis with Applications in Prognostics
Chengyu Zhou, Yuqi Su, Tangbin Xia +1
Multilinear Principal Component Analysis (MPCA) is a widely utilized method for the dimension reduction of tensor data. However, the integration of MPCA into federated learning rem…
cs.LG2022
A Supervised Tensor Dimension Reduction-Based Prognostics Model for Applications with Incomplete Imaging Data
Chengyu Zhou, Xiaolei Fang
This paper proposes a supervised dimension reduction methodology for tensor data which has two advantages over most image-based prognostic models. First, the model does not require…