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Browsing by Subject "Sparse and low-rank tensor decomposition"

Browsing by Subject "Sparse and low-rank tensor decomposition"

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  • Huang, Zhihong; Li, Shutao; Fang, Leyuan; Li, Huali; Benediktsson, Jon Atli (Institute of Electrical and Electronics Engineers (IEEE), 2018)
    Hyperspectral image (HSI) is usually corrupted by various types of noise, including Gaussian noise, impulse noise, stripes, deadlines, and so on. Recently, sparse and low-rank matrix decomposition (SLRMD) has demonstrated to be an effective tool in ...