Sparse non-negative tensor factorization using columnwise coordinate descent
نویسندگان
چکیده
منابع مشابه
Sparse non-negative tensor factorization using columnwise coordinate descent
Many applications in computer vision, biomedical informatics, and graphics deal with data in the matrix or tensor form. Non-negative matrix and tensor factorization, which extract data-dependent non-negative basis functions, have been commonly applied for the analysis of such data for data compression, visualization, and detection of hidden information (factors). In this paper, we present a fas...
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ژورنال
عنوان ژورنال: Pattern Recognition
سال: 2012
ISSN: 0031-3203
DOI: 10.1016/j.patcog.2011.05.015