Dimensionality reduction and polynomial chaos acceleration of Bayesian inference in inverse problems.
Youssef M. MarzoukHabib N. NajmPublished in: J. Comput. Phys. (2009)
Keyphrases
- bayesian inference
- inverse problems
- dimensionality reduction
- image reconstruction
- global optimization
- probabilistic model
- convex optimization
- prior information
- optimization methods
- hyperparameters
- optimization problems
- pattern recognition
- high dimensional data
- high dimensional
- principal component analysis
- particle swarm optimization
- feature selection
- early vision
- feature space
- neural network
- particle filter
- partial differential equations
- computationally expensive
- search space
- feature extraction
- smoothness constraint
- least squares
- data points
- expectation propagation
- dynamic programming
- evolutionary algorithm
- image analysis
- face recognition