Multiscale Data Analysis Using Binning, Tensor Decompositions, and Backtracking.
Dimitri LeggasThomas HenrettyJames R. EzickMuthu Manikandan BaskaranBrendan von HofeGrace CimaszewskiHarper LangstonRichard LethinPublished in: HPEC (2020)
Keyphrases
- multiscale
- data analysis
- scale space
- high order
- search algorithm
- higher order
- constraint satisfaction
- natural images
- data mining
- wavelet domain
- edge detection
- knowledge discovery
- coarse to fine
- affine invariant
- multiscale analysis
- data processing
- image representation
- tensor space
- image fusion
- data warehouse
- wavelet transform
- constraint propagation
- diffusion tensor
- dependency directed backtracking
- wavelet coefficients
- filter bank
- machine learning
- image processing
- search space
- rough sets
- dimensionality reduction
- pattern discovery
- information visualization
- data collection
- image segmentation
- big data
- search tree
- shape representation
- variable ordering
- multi aspect
- backtracking algorithm
- tensor decomposition
- high dimensional data