On the asymptotic variances of Gaussian Markov Random Field model hyperparameters in stochastic image modeling.
Alexandre L. M. LevadaNelson D. A. MascarenhasAlberto TannúsPublished in: ICPR (2008)
Keyphrases
- markov random field model
- hyperparameters
- bayesian framework
- input image
- image features
- multiscale
- image retrieval
- image representation
- gaussian distribution
- test images
- image segmentation
- edge detection
- image classification
- pairwise
- model selection
- random fields
- prior information
- gaussian mixture model
- random sampling
- bayesian inference
- high resolution
- cross validation
- sample size
- low resolution
- maximum likelihood
- multiresolution