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Riemannian Locally Linear Embedding with Application to Kendall Shape Spaces.
Elodie Maignant
Alain Trouvé
Xavier Pennec
Published in:
GSI (1) (2023)
Keyphrases
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manifold learning
dimensionality reduction
multi dimensional
neural network
computer vision
similarity measure
feature vectors
high dimensional data
subspace learning
locally linear embedding
nonlinear dimensionality reduction