@CONFERENCE\{IMM2011-06003,
    author       = "D. Bespalov and A. L. Dahl and B. Bai and A. Shokoufandeh",
    title        = "On Inferring Image Label Information Using Rank Minimization for Supervised Concept Embedding",
    year         = "2011",
    month        = "may",
    keywords     = "Food Quality Assessment, Minimum Rank Embedding, Supervised Embedding",
    booktitle    = "Scandinavian Conference on Image Analysis, Ystad, Sweden, May 2011",
    volume       = "",
    series       = "",
    editor       = "Proceedings of Scandinavian Conference on Image Analysis, 2011",
    publisher    = "Springer",
    organization = "",
    address      = "",
    url          = "http://www2.compute.dtu.dk/pubdb/pubs/6003-full.html",
    abstract     = "Concept-basedrepresentation—combinedwithsomeclassifier(e.g., support vector machine) or regression analysis (e.g., linear regression) — induces a popular approach among image processing community, used to infer image la- bels. We propose a supervised learning procedure to obtain an embedding to a latent concept space with the pre-defined inner product. This learning procedure uses rank minimization of the sought inner product matrix, defined in the original concept space, to find an embedding to a new low dimensional space. The em- pirical evidence show that the proposed supervised learning method can be used in combination with another computational image embedding procedure, such as bag-of-features method, to significantly improve accuracy of label inference, while producing embedding of low complexity."
}