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Grassmannian Discriminant Maps (GDM) for Manifold Dimensionality Reduction with Application to Image Set Classification.
Rui Wang
Xiao-Jun Wu
Kai-Xuan Chen
Josef Kittler
Published in:
CoRR (2018)
Keyphrases
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dimensionality reduction
low dimensional
high dimensional
subspace learning
locality preserving projections
feature extraction
feature space
principal component analysis
high dimensional data
manifold learning
feature selection
training set
metric learning
lower dimensional
graph embedding