A nonparametric contextual classification based on Markov random fields.
Bor-Chen KuoChun-Hsiang ChuangChih-Sheng HuangChih-Cheng HungPublished in: WHISPERS (2009)
Keyphrases
- markov random field
- image segmentation
- graph cuts
- random fields
- image restoration
- energy minimization
- maximum a posteriori
- belief propagation
- pairwise
- parameter estimation
- discriminative random fields
- mrf model
- energy function
- higher order
- image classification
- potential functions
- support vector
- low level vision
- efficient inference
- map inference
- potts model
- image reconstruction
- markov networks
- conditional random fields
- class labels
- maximum entropy
- text classification
- feature vectors
- iterative conditional
- feature extraction