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Manifold Learning-based Data Sampling for Model Training.
Shuqing Chen
Sabrina Dorn
Michael Lell
Marc Kachelrieß
Andreas K. Maier
Published in:
Bildverarbeitung für die Medizin (2018)
Keyphrases
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manifold learning
data sets
high dimensional data
input data
probabilistic model
data points
feature mapping
data analysis
embedding space
machine learning
computer vision
sparse representation
parameter space
riemannian manifolds