SeGMA: Semi-Supervised Gaussian Mixture Autoencoder.
Marek SmiejaMaciej WolczykJacek TaborBernhard C. GeigerPublished in: IEEE Trans. Neural Networks Learn. Syst. (2021)
Keyphrases
- gaussian mixture
- semi supervised
- mixtures of gaussians
- gaussian mixture model
- em algorithm
- labeled data
- closed form
- probability density function
- active learning
- covariance matrix
- pairwise
- mixture model
- expectation maximization
- probability density
- supervised learning
- density estimation
- kl divergence
- unsupervised learning
- generative model
- gaussian density
- computer vision
- gaussian densities
- probabilistic model
- mixture of gaussians