Unsupervised Feature Extraction Using Singular Value Decomposition.
Kourosh ModarresiPublished in: ICCS (2015)
Keyphrases
- singular value decomposition
- feature extraction
- dimension reduction
- dimensionality reduction
- principal component analysis
- singular values
- unsupervised learning
- low rank
- semi supervised
- least squares
- unsupervised feature selection
- feature selection
- supervised learning
- latent semantic indexing
- feature space
- linear discriminant analysis
- manifold learning
- feature vectors
- image processing
- high dimensional data
- face recognition
- discriminant analysis
- data sets
- low rank approximation
- singular vectors
- support vector machine svm
- image classification
- machine learning
- frequency domain
- low dimensional
- data matrix
- null space
- feature set
- high dimensional