Dimension Reduction of RCE Signal by PCA and LPP for Estimation of the Sleeping.
Yohei TomitaYasue MitsukuraToshihisa TanakaJianting CaoPublished in: ISNN (3) (2011)
Keyphrases
- dimension reduction
- principal component analysis
- dimensionality reduction
- linear discriminant analysis
- low dimensional
- principal components
- feature extraction
- principle component analysis
- face recognition
- locality preserving projections
- high dimensional problems
- independent component analysis
- dimension reduction methods
- partial least squares
- discriminative information
- feature space
- random projections
- intrinsic dimensionality
- manifold learning
- singular value decomposition
- high dimensional data
- high dimensional
- subspace methods
- covariance matrix
- high dimensionality
- discriminant analysis
- face images
- kernel pca
- subspace learning
- feature selection
- principal components analysis
- lower dimensional
- preprocessing step
- face databases
- active learning
- feature vectors
- data analysis
- image sequences
- data sets
- sparse metric learning