PCA-Enhanced Stochastic Optimization Methods.
Alina KuznetsovaGerard Pons-MollBodo RosenhahnPublished in: DAGM/OAGM Symposium (2012)
Keyphrases
- optimization methods
- stochastic methods
- principal component analysis
- stage stochastic programs
- optimization method
- simulated annealing
- optimization problems
- optimization approaches
- principal components analysis
- efficient optimization
- principal components
- global convergence
- face recognition
- feature extraction
- continuous optimization
- trust region
- particle swarm
- principle component analysis
- kernel pca
- covariance matrix
- dimensionality reduction
- unconstrained optimization
- bayesian network models
- direct optimization
- high dimensional
- inverse problems
- dimension reduction
- linear discriminant analysis
- monte carlo
- face images
- evolutionary algorithm
- feature space
- gradient method
- portfolio optimization
- search algorithm
- neural network