On the computational benefit of tensor separation for high-dimensional discrete convolutions.
Jan-P. CalliessMichael MaiSebastian PfeifferPublished in: Multidimens. Syst. Signal Process. (2012)
Keyphrases
- high dimensional
- dimensionality reduction
- discrete data
- low dimensional
- mathematical programming
- higher order
- discrete fourier transform
- sparse data
- parameter space
- feature space
- high order
- fourier transform
- similarity search
- high dimensional data
- multi dimensional
- gene expression data
- variable selection
- finite number
- nearest neighbor
- continuous data
- optical flow
- query processing
- discrete version