Principal component pyramids for manifold learning in hand shape recognition.
Mohamed FaroukAlistair SutherlandPublished in: ICT Express (2018)
Keyphrases
- manifold learning
- principal components
- hand shape recognition
- dimensionality reduction
- principal component analysis
- low dimensional
- dimension reduction
- high dimensional data
- principal curves
- high dimensional
- feature extraction
- nonlinear dimensionality reduction
- principal components analysis
- diffusion maps
- laplacian eigenmaps
- pattern recognition
- linear discriminant analysis
- data points
- hyperplane
- semi supervised
- unsupervised learning
- intrinsic dimensionality
- feature set
- covariance matrix
- sparse representation
- feature space
- manifold structure
- low dimensional manifolds
- high dimensionality
- principal component regression
- locally linear embedding
- input space
- discriminant analysis
- singular value decomposition
- nonlinear manifold
- feature selection
- computer vision
- kernel pca
- neural network
- image processing