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Leveraging triplet loss and nonlinear dimensionality reduction for on-the-fly channel charting.
Taha Yassine
Luc Le Magoarou
Stéphane Paquelet
Matthieu Crussière
Published in:
SPAWC (2022)
Keyphrases
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nonlinear dimensionality reduction
manifold learning
dimensionality reduction
high dimensional data
low dimensional
laplacian eigenmaps
maximum variance unfolding
locally linear embedding
preprocessing
riemannian manifolds
pattern recognition
semi supervised
image representation