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cs.LG2024
Canonical Correlation Guided Deep Neural Network
Zhiwen Chen, Siwen Mo, Haobin Ke +4
Learning representations of two views of data such that the resulting representations are highly linearly correlated is appealing in machine learning. In this paper, we present a c…
cs.LG2022★ 2 cited
Spatial-temporal associations representation and application for process monitoring using graph convolution neural network
Hao Ren, Xiaojun Liang, Chunhua Yang +2
Thank you very much for the attention and concern of colleagues and scholars in this work. With the comments and guidance of experts, editors, and reviewers, this work has been acc…