Obtaining a linear combination of the principal components of a matrix on quantum computers.
Ammar DaskinPublished in: Quantum Inf. Process. (2016)
Keyphrases
- linear combination
- principal components
- low rank
- principal component analysis
- covariance matrix
- positive semidefinite
- weight vector
- basis functions
- square matrices
- small number
- dimensionality reduction
- data matrix
- kernel space
- principal components analysis
- singular value decomposition
- hyperplane
- kernel matrices
- feature set
- sparse coding
- orthogonal basis
- locally linear
- principal component regression
- multiple kernel
- dimension reduction
- discriminant analysis
- feature extraction
- computer vision