Graphical Models for Structured Classification, with an Application to Interpreting Images of Protein Subcellular Location Patterns.
Shann-Ching ChenGeoffrey J. GordonRobert F. MurphyPublished in: J. Mach. Learn. Res. (2008)
Keyphrases
- graphical models
- image classification
- belief propagation
- image features
- input image
- protein subcellular location
- bayesian networks
- probabilistic graphical models
- classification accuracy
- text classification
- segmentation method
- probabilistic model
- support vector machine
- image registration
- structure learning
- conditional random fields
- markov networks
- feature extraction
- approximate inference
- image matching
- higher order
- feature vectors
- support vector
- training data
- machine learning