Incremental dimension reduction of tensors with random index
Fredrik SandinBlerim EmruliMagnus SahlgrenPublished in: CoRR (2011)
Keyphrases
- dimension reduction
- principal component analysis
- feature extraction
- high dimensional
- high dimensional data
- low dimensional
- singular value decomposition
- variable selection
- manifold learning
- linear discriminant analysis
- partial least squares
- random projections
- dimensionality reduction
- data mining and machine learning
- high dimensional problems
- discriminative information
- feature selection
- dimension reduction methods
- preprocessing
- unsupervised learning
- cluster analysis
- high dimensional data analysis
- high dimensionality
- knowledge discovery
- maximum likelihood
- text mining
- nearest neighbor
- feature space
- data analysis
- object recognition
- face recognition
- image segmentation