Intrinsic dimensionality estimation and dimensionality reduction through scale space filtering.
Konstantinos KarantzalosPublished in: DPS (2009)
Keyphrases
- intrinsic dimensionality
- dimensionality reduction
- scale space filtering
- multiresolution
- noisy data
- high dimensional
- principal component analysis
- multiscale
- feature space
- vector space
- high dimensional data
- low dimensional
- pattern recognition
- high dimensionality
- singular value decomposition
- feature extraction
- probability density
- manifold learning
- input space
- metric learning
- zero crossing
- scale parameter
- data points
- nearest neighbor
- wavelet transform
- training set
- similarity measure