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Performance of random sampling for computing low-rank approximations of a dense matrix on GPUs.
Théo Mary
Ichitaro Yamazaki
Jakub Kurzak
Piotr Luszczek
Stanimire Tomov
Jack J. Dongarra
Published in:
SC (2015)
Keyphrases
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random sampling
low rank approximation
singular value decomposition
active learning
low rank
sample size
sampling algorithm
hyperparameters
iterative algorithms
sliding window
covariance matrix
reconstruction error
kernel matrix
subspace learning
spectral clustering
semi supervised
machine learning
least squares