PCA in High Dimensions: An Orientation.
Iain M. JohnstoneDebashis PaulPublished in: Proc. IEEE (2018)
Keyphrases
- high dimensions
- high dimensional
- high dimensional data
- principal component analysis
- dimensionality reduction
- high dimensional spaces
- principal components analysis
- feature extraction
- principal components
- low dimensional
- poor quality
- database
- feature space
- indexing schemes
- face images
- nearest neighbor
- gabor filters
- principle component analysis
- computer vision
- input data
- face recognition
- euclidean distance
- tree structure
- high dimensionality
- feature set
- edge detection
- data warehouse
- data points
- image analysis
- multiscale