Support Vector Random Fields for Spatial Classification.
Chi-Hoon LeeRussell GreinerMark SchmidtPublished in: PKDD (2005)
Keyphrases
- support vector
- random fields
- classification accuracy
- support vector machine
- feature selection
- svm classifier
- cross validation
- decision trees
- non stationary
- generalization ability
- conditional random fields
- random field models
- markov random field
- maximum entropy
- feature space
- support vector machine svm
- hyperplane
- maximum margin
- multi class classification
- density estimation
- nonparametric density estimation
- parameter estimation
- kernel function
- information retrieval
- feature vectors
- least squares
- probabilistic model
- hidden markov models
- hyperparameters
- feature extraction
- image segmentation
- computer vision