Fast Tensor Principal Component Analysis via Proximal Alternating Direction Method with Vectorized Technique
نویسندگان
چکیده
منابع مشابه
Fast Tensor Principal Component Analysis via Proximal Alternating Direction Method with Vectorized Technique
This paper studies the problem of tensor principal component analysis (PCA). Usually the tensor PCA is viewed as a low-rank matrix completion problem via matrix factorization technique, and nuclear norm is used as a convex approximation of the rank operator under mild condition. However, most nuclear norm minimization approaches are based on SVD operations. Given a matrix m n × ∈ X , the time...
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ژورنال
عنوان ژورنال: Applied Mathematics
سال: 2017
ISSN: 2152-7385,2152-7393
DOI: 10.4236/am.2017.81007