Dimensionality Reduction of Dynamic Animations Using HO-SVD.
Michal RomaszewskiPiotr GawronSebastian OpozdaPublished in: ICAISC (1) (2014)
Keyphrases
- dimensionality reduction
- singular value decomposition
- high dimensional
- data mining
- low dimensional
- high dimensionality
- dynamic environments
- high dimensional data
- data representation
- manifold learning
- principal component analysis
- pattern recognition
- feature selection
- principal components
- pattern recognition and machine learning
- input space
- data points
- dimension reduction
- feature extraction
- linear discriminant analysis
- decision trees
- data sets
- computer vision
- data structure
- learning algorithm
- random projections
- lower dimensional
- kernel learning
- kernel pca
- dimensionality reduction methods
- nonlinear dimensionality reduction
- feature space