Eigenfaces and eigenvoices: dimensionality reduction for specialized pattern recognition.
Roland KuhnPatrick NguyenJean-Claude JunquaLloyd GoldwasserPublished in: MMSP (1998)
Keyphrases
- dimensionality reduction
- pattern recognition
- principal component analysis
- face recognition
- feature extraction
- data representation
- low dimensional
- high dimensional data
- high dimensional
- image analysis
- random projections
- subspace learning
- linear discriminant analysis
- manifold learning
- high dimensionality
- general purpose
- principal components
- euclidean distance
- signal processing
- facial images
- dimensionality reduction methods
- linear discriminant
- lower dimensional
- neural network
- data points
- computer vision
- pattern classification
- image processing
- machine learning
- rough sets
- pattern recognition problems
- face space
- linear dimensionality reduction
- fuzzy sets
- nearest neighbor
- data sets
- pattern recognition and machine learning
- supervised dimensionality reduction