Finding Numerical Derivatives for Unstructured and Noisy Data by Multiscale Kernels.
Leevan LingPublished in: SIAM J. Numer. Anal. (2006)
Keyphrases
- noisy data
- multiscale
- high dimensional
- noise free
- higher order
- training data
- missing data
- edge detection
- learning from noisy data
- noise tolerant
- image representation
- wavelet transform
- image processing
- natural images
- feature space
- image segmentation
- finite difference
- data mining
- missing values
- semi structured
- computer vision