A Supervised Tensor Dimension Reduction-Based Prognostics Model for Applications with Incomplete Imaging Data.
Chengyu ZhouXiaolei FangPublished in: CoRR (2022)
Keyphrases
- dimension reduction
- data sets
- high dimensional data
- missing data
- data sources
- data samples
- partial least squares
- input data
- knowledge discovery
- generative topographic mapping
- em algorithm
- high dimensional
- data analysis
- training data
- active learning
- principal component analysis
- low dimensional
- training set
- feature space
- singular value decomposition
- similarity measure
- learning algorithm
- machine learning
- neural network