Groupwise Bayesian dimension reduction.
Bo ZhangLiwei WangSong YanChul SungPublished in: IJCNN (2017)
Keyphrases
- dimension reduction
- principal component analysis
- feature extraction
- high dimensional
- data mining and machine learning
- low dimensional
- random projections
- singular value decomposition
- variable selection
- linear discriminant analysis
- high dimensional problems
- feature space
- manifold learning
- high dimensionality
- high dimensional data
- feature selection
- partial least squares
- discriminative information
- bayesian networks
- dimensionality reduction
- cluster analysis
- preprocessing
- maximum likelihood
- dimension reduction methods
- image processing
- high dimensional data analysis
- unsupervised learning
- discriminant analysis
- data sets
- support vector machine
- image data
- knowledge discovery
- real world