Structure Preserving Low-Rank Representation for Semi-supervised Face Recognition

    ICONIP, pp. 148-155, 2013.

    Cited by: 4|Bibtex|Views5|Links
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    Keywords:
    face recognitionlow-rank representationsemi-supervised learningstructure preserving

    Abstract:

    Constructing an informative and discriminative graph plays an important role in the graph based semi-supervised learning methods. Among these graph construction methods, low-rank representation based graph, which calculates the edge weights of both labeled and unlabeled samples as the low-rank representation (LRR) coefficients, has shown ...More

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