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Computing low-rank approximations of the Fréchet derivative of a matrix function using Krylov subspace methods.
Peter Kandolf
Antti Koskela
Samuel D. Relton
Marcel Schweitzer
Published in:
CoRR (2020)
Keyphrases
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subspace methods
low rank approximation
singular value decomposition
low rank
principal component analysis
machine learning
face recognition
spectral clustering
ensemble methods
subspace learning
image sequences
training data
support vector
data analysis
image classification
high dimensional data