Realizability interpretation of PA by iterated limiting PCA.
Yohji AkamaPublished in: Math. Struct. Comput. Sci. (2014)
Keyphrases
- principal component analysis
- principal components analysis
- principal components
- dimensionality reduction
- principle component analysis
- databases
- feature extraction
- high dimensional
- appearance based object recognition
- semantic interpretation
- kernel pca
- random projections
- image interpretation
- image classification
- feature space
- neural network
- low dimensional
- covariance matrix
- independent component analysis
- face images
- k means
- face recognition
- image processing
- machine learning
- extracting features
- method for face recognition
- reduced dimensionality
- real time