An application of the neural network energy function to machine sequencing.
Komgrit LeksakulAnulark TechanitisawadPublished in: Comput. Manag. Sci. (2005)
Keyphrases
- energy function
- neural network
- hopfield neural network
- energy minimization
- graph cuts
- markov random field
- image intensity
- active contours
- shape model
- maximum a posteriori
- image segmentation
- global minimum
- level set
- segmentation method
- problems in computer vision
- back propagation
- regularization term
- belief propagation
- shape prior
- artificial neural networks
- mrf model
- learning rules
- reconstruction process
- genetic algorithm
- neural nets
- probability distribution