Variable transformations in combination with wavelets and ANOVA for high-dimensional approximation.
Daniel PottsLaura WeidensagerPublished in: Adv. Comput. Math. (2024)
Keyphrases
- high dimensional
- statistically significant
- similarity search
- wavelet transform
- dimensionality reduction
- tensor product
- multiresolution
- parameter space
- signal processing
- low dimensional
- image compression
- multiscale
- metric space
- error bounds
- high dimensional data
- nearest neighbor
- image representation
- multi dimensional
- principal component analysis
- closed form
- noisy data
- data points
- feature space
- variable selection
- sparse data
- queueing networks
- high dimensional spaces
- approximation error
- multiresolution analysis
- feature extraction
- post hoc