A new approach to a maximum a posteriori-based kernel classification method.
NopriadiYukihiko YamashitaPublished in: Neural Networks (2012)
Keyphrases
- classification method
- maximum a posteriori
- map estimation
- markov random field
- image reconstruction
- maximum likelihood
- k nearest neighbor
- kernel principal component analysis
- knn
- bayesian framework
- support vector machine
- text classification
- energy function
- kernel function
- em algorithm
- support vector machine svm
- prior model
- expectation maximization
- classification algorithm
- nearest neighbor
- face recognition
- kernel matrix
- generalized gaussian
- image restoration
- graph cuts
- feature space
- feature selection
- edge detection
- support vector
- model parameters are estimated