Geometric deep learning for computational mechanics Part II: Graph embedding for interpretable multiscale plasticity.
Nikolaos N. VlassisWaiChing SunPublished in: CoRR (2022)
Keyphrases
- deep learning
- graph embedding
- multiscale
- unsupervised learning
- low dimensional
- semi supervised
- discriminant analysis
- machine learning
- weakly supervised
- subspace learning
- dimensionality reduction
- natural images
- data representation
- mental models
- dictionary learning
- neural network
- image processing
- geometric constraints
- geometric structure
- feature extraction
- principal component analysis
- computer vision