Asymptotic Minimax Bounds for Stochastic Deconvolution Over Groups.
Ja-Yong KooPeter T. KimPublished in: IEEE Trans. Inf. Theory (2008)
Keyphrases
- worst case
- finite sample
- lower bound
- large deviations
- stage stochastic programs
- rates of convergence
- upper bound
- least squares
- asymptotic properties
- average case
- asymptotically optimal
- denoising
- monte carlo
- image restoration
- stochastic programming
- worst case bounds
- asymptotic optimality
- blind deconvolution
- uniform convergence
- motion blur
- evaluation function
- error bounds
- image processing
- markov processes
- generalization bounds
- statistical learning theory
- lower and upper bounds
- motion deblurring
- expected values
- loss bounds
- search tree