Dimensionality Reduction through Sensory-Motor Coordination.
I. René J. A. te BoekhorstMax LungarellaRolf PfeiferPublished in: ICANN (2003)
Keyphrases
- dimensionality reduction
- low dimensional
- high dimensional data
- principal component analysis
- high dimensional
- high dimensionality
- manifold learning
- feature selection
- pattern recognition and machine learning
- feature extraction
- lower dimensional
- intrinsic dimensionality
- feature space
- data representation
- pattern recognition
- linear dimensionality reduction
- principal components
- random projections
- structure preserving
- euclidean distance
- dimensionality reduction methods
- linear projection
- dimension reduction
- data points
- graph embedding
- preprocessing step
- nonlinear dimensionality reduction
- locally linear embedding
- linear discriminant analysis
- kernel learning
- principal components analysis
- input space
- singular value decomposition
- real world
- databases
- sparse representation
- face recognition
- e learning
- artificial intelligence
- information retrieval
- data mining