A multi-manifold semi-supervised Gaussian mixture model for pattern classification.
Xianglei XingYao YuHua JiangSidan DuPublished in: Pattern Recognit. Lett. (2013)
Keyphrases
- pattern classification
- gaussian mixture model
- semi supervised
- manifold learning
- mixture model
- feature space
- feature vectors
- feature extraction
- density estimation
- em algorithm
- pattern recognition
- semi supervised learning
- gaussian mixture
- maximum likelihood
- expectation maximization
- decision boundary
- probability density function
- labeled data
- speaker identification
- active learning
- low dimensional
- graph embedding
- background subtraction
- pairwise
- covariance matrices
- pattern classification problems
- probabilistic neural network
- unlabeled data
- pairwise constraints
- subspace learning
- probability density
- data mining
- metric learning
- supervised learning
- gaussian distribution
- sparse representation
- generative model
- language model
- high dimensional
- decision trees
- neural network
- gaussian mixture modeling