Keyphrases
- dimension reduction
- vlsi circuits
- principal component analysis
- feature extraction
- low dimensional
- high dimensional
- feature selection
- singular value decomposition
- manifold learning
- high dimensional problems
- high dimensionality
- high dimensional data
- linear discriminant analysis
- unsupervised learning
- low power
- random projections
- dimensionality reduction
- cluster analysis
- preprocessing
- feature space
- pattern recognition
- manifold embedding
- dimension reduction methods
- sparse metric learning
- computer vision
- signal processing