Manifold learning-based feature extraction for structural defect reconstruction.
Qi LiDianzi LiuZhenghua QianPublished in: CoRR (2020)
Keyphrases
- manifold learning
- feature extraction
- defect detection
- dimensionality reduction
- dimension reduction
- nonlinear dimensionality reduction
- diffusion maps
- low dimensional
- laplacian eigenmaps
- subspace learning
- discriminant projection
- semi supervised
- high dimensional
- image classification
- high dimensional data
- feature space
- manifold structure
- preprocessing
- geodesic distance
- locality preserving
- head pose estimation
- high resolution
- discriminant embedding
- locality preserving projections
- linear discriminant analysis
- locally linear embedding
- data mining
- support vector machine svm
- data analysis
- multiscale
- image processing