Physics-Informed Geometric Operators to Support Surrogate, Dimension Reduction and Generative Models for Engineering Design.
Shahroz KhanZahid MasoodMuhammad UsamaKonstantinos V. KostasPanagiotis D. KaklisWei ChenPublished in: CoRR (2024)
Keyphrases
- dimension reduction
- engineering design
- generative model
- artificial intelligence
- principal component analysis
- probabilistic model
- discriminative learning
- linear discriminant analysis
- feature selection
- low dimensional
- unsupervised learning
- high dimensional data
- prior knowledge
- dimensionality reduction
- cluster analysis
- design process
- conditional random fields
- singular value decomposition
- high dimensionality
- sparse coding
- discriminative models
- em algorithm
- reinforcement learning
- feature extraction
- high dimensional
- data analysis
- image classification
- semi supervised
- active learning
- face recognition