Unsupervised Feature Extraction Inspired by Latent Low-Rank Representation.
Yaming WangVlad I. MorariuLarry S. DavisPublished in: WACV (2015)
Keyphrases
- feature extraction
- low rank representation
- low rank
- semi supervised
- unsupervised learning
- affinity matrix
- feature vectors
- dimension reduction
- image classification
- pattern recognition
- latent variables
- dimensionality reduction
- manifold learning
- face recognition
- feature selection
- feature space
- image processing
- data sets
- principal component analysis
- supervised learning
- linear combination
- high dimensional data
- spectral clustering
- high dimensional