Dimensionality reduction for trajectory learning from demonstration.
Nik A. MelchiorReid G. SimmonsPublished in: ICRA (2010)
Keyphrases
- dimensionality reduction
- high dimensional
- low dimensional
- principal component analysis
- high dimensional data
- feature extraction
- data representation
- high dimensionality
- preprocessing step
- pattern recognition and machine learning
- feature space
- trajectory data
- feature selection
- random projections
- pattern recognition
- principal components
- data points
- nonlinear dimensionality reduction
- input space
- dimensionality reduction methods
- kernel learning
- structure preserving
- trajectory planning
- linear dimensionality reduction
- manifold learning
- neural network
- linear discriminant analysis
- dimension reduction
- linear projection
- trajectories of moving objects
- supervised dimensionality reduction
- lower dimensional
- similarity search
- spatio temporal
- video sequences
- clustering algorithm
- data mining