High-dimensional analysis of semidefinite relaxations for sparse principal components.
Arash A. AminiMartin J. WainwrightPublished in: CoRR (2008)
Keyphrases
- principal components
- semidefinite
- high dimensional
- principal component analysis
- dimensionality reduction
- kernel space
- higher dimensional
- low dimensional
- dynamic programming
- pattern recognition
- semidefinite programming
- convex relaxation
- image processing
- feature space
- optimal solution
- kernel principal component analysis
- data sets