Maximum likelihood training of probabilistic neural networks with rotationally related covariance matrices.
Roy L. StreitStephen G. GreinederT. E. LuginbuhiPublished in: ICNN (1995)
Keyphrases
- covariance matrices
- maximum likelihood
- probabilistic neural networks
- gaussian distribution
- feed forward neural networks
- em algorithm
- covariance matrix
- gaussian mixture model
- probabilistic neural network
- expectation maximization
- mixture model
- neural network
- power distribution
- training set
- supervised learning
- hyperparameters
- training samples
- gaussian mixture
- distance measure
- similarity measure
- image processing