PRIMAL-GMM: PaRametrIc MAnifold Learning of Gaussian Mixture Models.
Ziquan LiuLei YuJanet H. HsiaoAntoni B. ChanPublished in: IEEE Trans. Pattern Anal. Mach. Intell. (2022)
Keyphrases
- gaussian mixture model
- manifold learning
- feature space
- mixture model
- dimensionality reduction
- low dimensional
- high dimensional
- speaker recognition
- feature vectors
- semi supervised
- em algorithm
- maximum likelihood
- support vector
- expectation maximization
- high dimensional data
- speaker identification
- dimension reduction
- probability density function
- feature extraction
- gaussian distribution
- probability density
- gaussian mixture modeling
- variational bayes
- gaussian mixture
- least squares
- density estimation
- image representation
- covariance matrices
- sparse representation
- information retrieval
- probabilistic model
- face recognition