On the use of Cramer-Rao-like bounds in the presence of random nuisance parameters.
Fulvio GiniRuggero ReggianniniPublished in: IEEE Trans. Commun. (2000)
Keyphrases
- cramer rao
- lower bound
- noise level
- fisher information
- error bounds
- upper bound
- image registration
- noisy images
- parameter estimates
- np hard
- theoretical analysis
- kernel function
- image segmentation
- probability density function
- maximum likelihood
- low dimensional
- prior model
- feature vectors
- objective function
- similarity measure