An active subspace method for accelerating convergence in Delaunay-based optimization via dimension reduction.
Muhan ZhaoShahrouz Ryan AlimoThomas R. BewleyPublished in: CDC (2018)
Keyphrases
- dimension reduction
- subspace methods
- linear discriminant analysis
- principal component analysis
- high dimensional data
- high dimensional
- low dimensional
- dimensionality reduction
- feature extraction
- face recognition
- singular value decomposition
- random projections
- support vector
- feature space
- high dimensionality
- manifold learning
- unsupervised learning
- feature selection
- support vector machine
- image processing
- benchmark datasets
- support vector machine svm
- cluster analysis
- independent component analysis
- preprocessing
- data analysis
- image sequences
- lower dimensional
- subspace learning