Spatial-Neighborhood Manifold Learning for Nondestructive Testing of Defects in Polymer Composites.
Yi LiuKaixin LiuJianguo YangYuan YaoPublished in: IEEE Trans. Ind. Informatics (2020)
Keyphrases
- manifold learning
- neighborhood graph
- manifold learning algorithm
- low dimensional
- dimensionality reduction
- diffusion maps
- nonlinear dimensionality reduction
- semi supervised
- high dimensional
- subspace learning
- dimension reduction
- geodesic distance
- high dimensional data
- feature extraction
- graph laplacian
- laplacian eigenmaps
- head pose estimation
- sparse representation
- manifold structure
- feature space
- discriminant projection
- locality preserving
- manifold embedding
- singular value decomposition
- decision trees
- high dimensionality
- least squares
- knn
- feature vectors
- image processing