Neural network based class-conditional probability density function using kernel trick for supervised classifier.
E. S. Gopi SubbuPalanisamy PonnusamyPublished in: Neurocomputing (2015)
Keyphrases
- probability density function
- density function
- neural network
- probability distribution
- density estimation
- bayesian framework
- posterior probability
- kernel function
- mixture model
- gaussian mixture model
- em algorithm
- feature space
- low dimensional
- dimensionality reduction
- distance function
- expectation maximization
- data sets
- labeled data
- statistical methods
- object recognition