Polyhedral annexaton, dualization and dimension reduction technique in global optimization.
Hoang TuyPublished in: J. Glob. Optim. (1991)
Keyphrases
- dimension reduction
- global optimization
- principal component analysis
- particle swarm optimization
- linear discriminant analysis
- manifold learning
- singular value decomposition
- high dimensional
- high dimensional problems
- dimensionality reduction
- feature extraction
- pso algorithm
- random projections
- high dimensional data
- low dimensional
- high dimensionality
- unsupervised learning
- feature space
- preprocessing
- global solution
- cluster analysis
- feature selection
- constrained global optimization
- discriminative information
- dimension reduction methods
- high dimensional data analysis
- global search
- deterministic annealing
- sparse metric learning
- image completion
- data mining
- convex sets
- text classification
- data points
- face recognition
- computer vision
- learning algorithm