GAT-GMM: Generative Adversarial Training for Gaussian Mixture Models.
Farzan FarniaWilliam WangSubhro DasAli JadbabaiePublished in: CoRR (2020)
Keyphrases
- gaussian mixture model
- mixture model
- generative model
- em algorithm
- feature vectors
- speaker recognition
- maximum likelihood
- expectation maximization
- background subtraction
- speaker identification
- probability density function
- gaussian mixture modeling
- training set
- gaussian mixture
- unsupervised learning
- feature space
- density estimation
- probability density
- variational bayes
- information retrieval
- probabilistic model
- feature selection
- computer vision