Dimensionality reduction by local processing.
Christian WöhlerUlrich KresselJürgen SchürmannJoachim K. AnlaufPublished in: ESANN (1999)
Keyphrases
- dimensionality reduction
- real time
- low dimensional
- high dimensional data
- structure preserving
- data representation
- nonlinear dimensionality reduction
- high dimensional
- principal component analysis
- data processing
- information processing
- pattern recognition and machine learning
- dimensionality reduction methods
- random projections
- high dimensionality
- data points
- feature space
- pattern recognition
- learning algorithm
- singular value decomposition
- linear discriminant analysis
- principal components
- manifold learning
- data structure
- feature extraction
- computer vision