Subspace estimation by hierarchical neural PCA: analog/digital implementation constraints.
Anisoara Paraschiv-IonescuChristian JuttenGérard BouvierPublished in: ISCAS (2000)
Keyphrases
- principal component analysis
- circuit design
- principal components analysis
- low dimensional
- principal components
- feature space
- high dimensional
- dimensionality reduction
- subspace methods
- neural network
- face recognition
- network architecture
- feature extraction
- subspace analysis
- lower dimensional
- hierarchical structure
- linear projection
- printed circuit
- discriminant analysis
- linear discriminant analysis
- high dimensional data