A Probabilistic Graph Coupling View of Dimension Reduction.
Hugues Van AsselThibault EspinasseJulien ChiquetFranck PicardPublished in: NeurIPS (2022)
Keyphrases
- dimension reduction
- principal component analysis
- feature extraction
- high dimensional
- singular value decomposition
- high dimensional data
- high dimensionality
- linear discriminant analysis
- high dimensional problems
- low dimensional
- variable selection
- partial least squares
- data mining and machine learning
- dimensionality reduction
- random projections
- feature selection
- high dimensional data analysis
- manifold learning
- discriminative information
- unsupervised learning
- probabilistic model
- preprocessing
- bayesian networks
- maximum likelihood
- face recognition
- qr decomposition
- cluster analysis
- multiple views
- discriminant analysis
- data points
- data analysis
- dimension reduction methods
- machine learning