Subspace-stabilized sequential quadratic programming.
Alexey F. IzmailovE. I. UskovPublished in: Comput. Optim. Appl. (2017)
Keyphrases
- sequential quadratic programming
- low dimensional
- subspace clustering
- linear subspace
- principal component analysis
- subspace learning
- high dimensional data
- feature space
- dimensionality reduction
- lower dimensional
- principal components analysis
- kernel based nonlinear
- subspace methods
- eigendecomposition
- subspace clusters
- clustering high dimensional data