Sequential Monte Carlo Methods for High-Dimensional Inverse Problems: A Case Study for the Navier-Stokes Equations.
Nikolas KantasAlexandros BeskosAjay JasraPublished in: SIAM/ASA J. Uncertain. Quantification (2014)
Keyphrases
- inverse problems
- high dimensional
- navier stokes equations
- sequential monte carlo methods
- image reconstruction
- global optimization
- parameter space
- convex optimization
- optimization methods
- gaussian model
- optimization problems
- boundary conditions
- partial differential equations
- early vision
- computationally expensive
- computer vision
- smoothness constraint
- super resolution
- image processing