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Scalable Nuclear-norm Minimization by Subspace Pursuit Proximal Riemannian Gradient.
Mingkui Tan
Shijie Xiao
Junbin Gao
Dong Xu
Anton van den Hengel
Qinfeng Shi
Published in:
CoRR (2015)
Keyphrases
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nuclear norm minimization
low dimensional
principal component analysis
subspace clustering
linear subspace
manifold learning
feature space
high dimensional
image processing
feature extraction
data analysis
dimensionality reduction
high dimensional data
shape model
subspace learning