most citedA robust deep learning-based damage identification approach for SHM considering missing data

1 citations · 1 across the 2 of their papers we have counts for

collaborators

2 papers

cs.CV2023

Learn to Cluster Faces with Better Subgraphs

Yuan Cao, Di Jiang, Guanqun Hou +3

Face clustering can provide pseudo-labels to the massive unlabeled face data and improve the performance of different face recognition models. The existing clustering methods gener…

cs.LG2023★ 1 cited

A robust deep learning-based damage identification approach for SHM considering missing data

Fan Deng, Xiaoming Tao, Pengxiang Wei +1

Data-driven method for Structural Health Monitoring (SHM), that mine the hidden structural performance from the correlations among monitored time series data, has received widely c…