Steerable Principal Components for Space-Frequency Localized Images.
Boris LandaYoel ShkolniskyPublished in: SIAM J. Imaging Sci. (2017)
Keyphrases
- principal components
- kernel space
- principal component analysis
- dimensionality reduction
- principal components analysis
- linear features
- spectral data
- multivariate data
- image features
- input image
- kernel principal component analysis
- image database
- image classification
- hyperplane
- covariance matrix
- low dimensional
- neural network
- feature set
- image retrieval
- independent components
- object recognition
- three dimensional
- feature selection
- machine learning