Morphology-based hypothesis testing in discrete random fields: A non-parametric method to address the multiple-comparison problem in neuroimaging.
José L. MarroquínRolando J. BiscaySalvador Ruiz-CorreaAlfonso AlbaRoxana RamirezJorge L. ArmonyPublished in: NeuroImage (2011)
Keyphrases
- hypothesis testing
- random fields
- likelihood ratio
- objective function
- probabilistic model
- error rate
- image processing
- robust statistical
- machine learning methods
- non stationary
- em algorithm
- pairwise
- computationally efficient
- statistical model
- state space
- maximum entropy
- similarity measure
- clustering algorithm
- computer vision