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Feiping Nie et al.
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Emmanuel J. Candes et al.
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JW Lu et al.
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AS Georghiades et al.
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Nonlinear dimensionality reduction by locally linear embedding
ST Roweis et al.
SCIENCE (2000)
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LF Chen et al.
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