Cluster validation for unsupervised stochastic model-based image segmentation
- 17 December 2002
- proceedings article
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- Vol. 2, 197-201
- https://doi.org/10.1109/icip.1994.413559
Abstract
No abstract availableKeywords
This publication has 8 references indexed in Scilit:
- Unsupervised segmentation of noisy and textured images using Markov random fieldsCVGIP: Graphical Models and Image Processing, 1992
- Use of the mean-field approximation in an EM-based approach to unsupervised stochastic model-based image segmentationPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1992
- On the estimation of the order of a Markov chain and universal data compressionIEEE Transactions on Information Theory, 1989
- Application of model-selection criteria to some problems in multivariate analysisPsychometrika, 1987
- Universal coding, information, prediction, and estimationIEEE Transactions on Information Theory, 1984
- Modeling by shortest data descriptionAutomatica, 1978
- Maximum Likelihood from Incomplete Data Via the EM AlgorithmJournal of the Royal Statistical Society Series B: Statistical Methodology, 1977
- A new look at the statistical model identificationIEEE Transactions on Automatic Control, 1974