Dimensionality reduction for whole-body human motion recognition.
Christian ManderyMatthias PlappertJúlia Borràs SolTamim AsfourPublished in: FUSION (2016)
Keyphrases
- dimensionality reduction
- high dimensional
- data representation
- pattern recognition
- principal component analysis
- high dimensional data
- feature space
- linear discriminant analysis
- low dimensional
- dimensionality reduction methods
- data points
- pattern recognition and machine learning
- feature selection
- high dimensionality
- feature extraction
- principal components
- preprocessing step
- manifold learning
- input space
- random projections
- diffusion maps
- singular value decomposition
- databases
- structure preserving
- graph embedding
- data analysis
- intrinsic dimensionality
- nonlinear dimensionality reduction
- kernel learning
- lower dimensional
- linear dimensionality reduction
- multi modal
- discriminant analysis
- linear projection
- locally linear embedding
- principal components analysis
- sparse representation
- website
- information retrieval