Variational Theory for Optimization under Stochastic Ambiguity.
Johannes O. RoysetRoger J.-B. WetsPublished in: SIAM J. Optim. (2017)
Keyphrases
- stochastic optimization
- optimization problems
- stochastic search
- stochastic programming
- sum product
- general theory
- optimization algorithm
- theoretical framework
- theoretical basis
- optimization process
- data sets
- optical flow
- artificial intelligence
- mathematical programming
- computational model
- belief functions
- evolutionary algorithm
- image segmentation
- knowledge base
- computer vision