Objective-Sensitive Principal Component Analysis for High-Dimensional Inverse Problems.
Maksim ElizarevAndrei MukhinAleksey KhlyupinPublished in: CoRR (2020)
Keyphrases
- inverse problems
- high dimensional
- principal component analysis
- low dimensional
- dimensionality reduction
- image reconstruction
- global optimization
- convex optimization
- feature space
- parameter space
- principal components
- optimization problems
- optimization methods
- partial differential equations
- early vision
- emission tomography
- high dimensional data
- genetic algorithm
- data points
- smoothness constraint
- feature extraction
- simulated annealing
- pairwise
- pattern recognition