Image Feature Representation by the Subspace of Nonlinear PCA.
Yen-Wei ChenXiang-Yan ZengPublished in: KES (2004)
Keyphrases
- feature representation
- low dimensional
- feature extraction
- principal component analysis
- face recognition
- principal components
- feature subspace
- dimensionality reduction
- nonlinear manifold
- high dimensional
- input image
- feature descriptors
- kernel pca
- image features
- feature space
- subspace learning
- feature representations
- image classification
- multiscale
- image segmentation
- image matching
- linear subspace
- feature set
- high dimensional data
- image representation
- image retrieval
- linear discriminant analysis
- lower dimensional
- data sets
- data points
- pattern recognition
- similarity measure
- image processing