Dimension Reduction in Statistical Estimation of Partially Observed Multiscale Processes.
Andrew PapanicolaouKonstantinos SpiliopoulosPublished in: SIAM/ASA J. Uncertain. Quantification (2017)
Keyphrases
- dimension reduction
- statistical estimation
- partially observed
- multiscale
- feature extraction
- image segmentation
- principal component analysis
- high dimensional
- high dimensional problems
- data mining and machine learning
- low dimensional
- partial least squares
- high dimensional data analysis
- singular value decomposition
- manifold learning
- random projections
- linear discriminant analysis
- dimensionality reduction
- high dimensional data
- feature selection
- feature space
- cluster analysis
- high dimensionality
- variable selection
- preprocessing
- image processing
- image representation
- unsupervised learning
- dimension reduction methods
- sparse metric learning
- discriminative information
- knowledge discovery
- similarity measure
- face recognition