A fast algorithm for computing a matrix transform used to detect trends in noisy data.
Dan KestnerGlenn IerleyAlex KostinskiPublished in: Comput. Phys. Commun. (2020)
Keyphrases
- noisy data
- noise tolerant
- missing data
- laplace transform
- noise free
- high dimensional
- detection method
- intrinsic dimensionality
- missing values
- learning from noisy data
- high dimensionality
- detection algorithm
- input data
- training data
- singular value decomposition
- data mining
- neural network
- dimensionality reduction
- color images