A Novel Under-sampling Method with Gaussian Mixture and Jensen-Shannon Divergence.
Xueling PanGuohe LiShunxin LiuQiuyue YuYing LiPublished in: IVSP (2022)
Keyphrases
- gaussian mixture
- jensen shannon divergence
- information theory
- information theoretic
- closed form
- em algorithm
- gaussian mixture model
- feature selection
- expectation maximization
- covariance matrix
- jensen shannon
- mutual information
- mixtures of gaussians
- density estimation
- selection criterion
- probability density function
- kl divergence
- mixture model
- gaussian density
- probability density
- data mining techniques
- data mining
- gaussian densities
- learning algorithm
- sample size
- maximum likelihood
- probabilistic model
- pattern recognition