Image representation using Laplacian regularized nonnegative tensor factorization
نویسندگان
چکیده
منابع مشابه
Image representation using Laplacian regularized nonnegative tensor factorization
Tensor provides a better representation for image space by avoiding information loss in vectorization. Nonnegative tensor factorization (NTF), whose objective is to express an n-way tensor as a sum of k rank-1 tensors under nonnegative constraints, has recently attracted a lot of attentions for its efficient and meaningful representation. However, NTF only sees Euclidean structures in data spac...
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ژورنال
عنوان ژورنال: Pattern Recognition
سال: 2011
ISSN: 0031-3203
DOI: 10.1016/j.patcog.2011.03.021