An Improved Mixture of Probabilistic PCA for Nonlinear Data-Driven Process Monitoring.
Jingxin ZhangHao ChenSonghang ChenXia HongPublished in: IEEE Trans. Cybern. (2019)
Keyphrases
- data driven
- principal component analysis
- kernel pca
- kernel principal component analysis
- principal components analysis
- mixture model
- source separation
- principle component analysis
- independent component analysis
- kernel methods
- linear dimensionality reduction
- uncertain data
- feature extraction
- probabilistic model
- singular value decomposition
- feature space
- dimensionality reduction
- low dimensional
- linear discriminant analysis
- dimension reduction
- gaussian distribution
- expectation maximization
- gaussian model
- latent variable models
- high dimensional feature space
- high dimensional
- data sets
- gaussian mixture model
- face recognition