Deriving Probabilistic SVM Kernels From Flexible Statistical Mixture Models and its Application to Retinal Images Classification.
Sami BourouisAtef ZaguiaNizar BouguilaRoobaea AlroobaeaPublished in: IEEE Access (2019)
Keyphrases
- mixture model
- support vector
- support vector machine svm
- retinal images
- svm classification
- probabilistic model
- generative model
- support vector machine
- density estimation
- feature space
- svm classifier
- gaussian mixture model
- age related macular degeneration
- unsupervised learning
- feature vectors
- kernel function
- finite mixture models
- model selection
- em algorithm
- pattern recognition
- feature selection
- mixture modeling
- image classification
- expectation maximization
- vessel segmentation
- multiple kernel learning
- blood vessels
- kernel svms
- training set
- kernel methods
- feature extraction
- optic disk
- histogram intersection kernel
- vessel detection
- generalized em algorithm
- automatic model selection
- decision trees
- maximum likelihood
- bayesian networks
- hyperplane
- probability density function
- language model
- optic disc
- kernel learning
- machine learning
- supervised learning