INIS
data
100%
algorithms
100%
environment
100%
depth
100%
photons
100%
underwater
100%
restoration
100%
reflectivity
100%
markov process
50%
images
50%
distribution
33%
monte carlo method
33%
chains
33%
approximations
16%
correlations
16%
randomness
16%
laboratories
16%
range
16%
increasing
16%
coordinates
16%
photon counting
16%
Engineering
Depth Profile
100%
Acquired Data
100%
Joints (Structural Components)
100%
Extreme Case
50%
Computational Time
50%
Bayesian Approach
50%
Random Field
50%
Spatial Correlation
50%
Time-Correlated Single Photon Counting
50%
Acquisition Time
50%
Likelihood Estimation
50%
Posterior Distribution
50%
Marginals
50%
Restoration Problem
50%
Computer Science
markov chain monte-carlo
100%
Photon Counting
50%
Estimated Depth
50%
Restoration Problem
50%
Bayesian Approach
50%
Computational Time
50%
Spatial Correlation
50%
Posterior Distribution
50%
Acquisition Time
50%
Marginal Likelihood
50%
Likelihood Estimation
50%
Mathematics
Single Photon
100%
Markov Chain Monte Carlo
66%
Marginal Likelihood
33%
Joint Posterior Distribution
33%
Approximates
33%
Markov Random Fields
33%
Monte Carlo Algorithm
33%
Mean Square
33%
Bayesian Approach
33%
Spatial Correlation
33%
Earth and Planetary Sciences
Reflectance
100%
Underwater Environment
100%
Markov Chain Monte Carlo
40%