Refining Gaussian mixture model based on enhanced manifold learning.
Jianfeng ShenJiajun BuBin JuTao JiangHao WuLanjuan LiPublished in: Neurocomputing (2012)
Keyphrases
- manifold learning
- gaussian mixture
- low dimensional
- em algorithm
- gaussian mixture model
- semi supervised
- probability density function
- dimensionality reduction
- nonlinear dimensionality reduction
- expectation maximization
- high dimensional
- closed form
- covariance matrix
- dimension reduction
- density estimation
- feature extraction
- high dimensional data
- mixture model
- probability density
- supervised learning
- probabilistic model
- pattern recognition
- multiscale
- sparse representation
- k means
- feature vectors