Machine Learning based Reduced Kernel PCA for Nonlinear Process Monitoring.
Khaled DhibiRadhia FezaiMajdi MansouriAbdelmalek KouadriKais BouzraraPublished in: IINTEC (2019)
Keyphrases
- kernel pca
- machine learning
- kernel methods
- kernel principal component analysis
- principal component analysis
- laplacian eigenmaps
- kernel matrix
- support vector machine
- spectral clustering
- kernel function
- dimensionality reduction
- face recognition
- feature space
- component analysis
- input space
- learning tasks
- learning problems
- machine learning algorithms
- high dimensional feature space
- feature selection
- pattern recognition
- model selection
- linear discriminant analysis
- data points
- learning algorithm
- data mining
- multi task
- computer vision
- semi supervised learning
- training data
- unsupervised learning
- text classification
- face images
- supervised learning
- active learning
- pairwise
- data analysis
- support vector