Feature Extraction Based on Manifold Learning for Radio Fingerprint.
Qiaolin PuTianshu TangJoseph Kee-Yin NgFawen ZhangPublished in: WCSP (2019)
Keyphrases
- manifold learning
- feature extraction
- dimensionality reduction
- dimension reduction
- nonlinear dimensionality reduction
- diffusion maps
- subspace learning
- head pose estimation
- preprocessing
- pattern classification
- image processing
- laplacian eigenmaps
- discriminant analysis
- feature vectors
- face recognition
- low dimensional
- pattern recognition
- image classification
- principal component analysis
- locality preserving
- feature space
- manifold structure
- manifold learning algorithm
- semi supervised
- feature selection
- support vector machine svm
- discriminant projection
- manifold embedding
- riemannian manifolds
- geodesic distance
- feature representation
- high dimensional data
- data analysis
- locality preserving projections
- principal components analysis
- texture features
- sparse representation