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Graphical Models for Structured Classification, with an Application to Interpreting Images of Protein Subcellular Location Patterns.
Shann-Ching Chen
Geoffrey J. Gordon
Robert F. Murphy
Published in:
J. Mach. Learn. Res. (2008)
Keyphrases
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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