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A stochastic gradient descent approach with partitioned-truncated singular value decomposition for large-scale inverse problems of magnetic modulus data.
Wenbin Li
Kangzhi Wang
Tingting Fan
Published in:
CoRR (2022)
Keyphrases
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singular value decomposition
data sets
original data
training data
high quality
least squares
low rank approximation
neural network
machine learning
pairwise
data points
inverse problems