Dimension reduction, exact recovery, and error estimates for sparse reconstruction in phase space.
Martin HollerAlexander SchlüterBenedikt WirthPublished in: CoRR (2021)
Keyphrases
- dimension reduction
- phase space
- error estimates
- sparse reconstruction
- cross validation
- sparse representation
- principal component analysis
- feature extraction
- high dimensional data
- singular value decomposition
- high dimensional
- error analysis
- low dimensional
- linear discriminant analysis
- dimensionality reduction
- random projections
- neural network
- image classification
- unsupervised learning
- feature selection
- high dimensionality
- feature space
- data sets
- image processing
- preprocessing
- pattern recognition
- reinforcement learning
- data points
- similarity measure
- face recognition
- clustering method
- d objects
- computer vision
- nearest neighbor