Barriers for Faster Dimensionality Reduction.
Ora Nova FandinaMikael Møller HøgsgaardKasper Green LarsenPublished in: STACS (2023)
Keyphrases
- dimensionality reduction
- structure preserving
- feature extraction
- low dimensional
- data representation
- manifold learning
- feature space
- principal component analysis
- high dimensional data
- input space
- high dimensionality
- feature selection
- pattern recognition
- data points
- random projections
- neural network
- high dimensional
- pattern recognition and machine learning
- dimensionality reduction methods
- kernel pca
- lower dimensional
- linear dimensionality reduction
- linear projection
- singular value decomposition
- nearest neighbor
- principal components
- principal components analysis
- dimension reduction
- memory efficient
- case study
- website
- image processing
- computer vision