A New Method for Process Monitoring Based on Mixture Probabilistic Principal Component Analysis Models.
Zhong-Gai ZhaoFei LiuPublished in: ISNN (2) (2006)
Keyphrases
- high accuracy
- preprocessing
- synthetic data
- model selection
- cost function
- experimental evaluation
- probabilistic model
- support vector machine
- linear regression
- machine learning methods
- detection method
- parameter estimation
- mixture model
- significant improvement
- prior knowledge
- computational complexity
- probabilistic principal component analysis
- gaussian distribution
- mixture distributions
- statistical methods
- em algorithm
- high precision
- neural network
- markov random field
- similarity measure