A parallel multi‐block alternating direction method of multipliers for tensor completion
نویسندگان
چکیده
منابع مشابه
Parallel Algorithms for Constrained Tensor Factorization via the Alternating Direction Method of Multipliers
Tensor factorization has proven useful in a wide range of applications, from sensor array processing to communications, speech and audio signal processing, and machine learning. With few recent exceptions, all tensor factorization algorithms were originally developed for centralized, in-memory computation on a single machine; and the few that break away from this mold do not easily incorporate ...
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ژورنال
عنوان ژورنال: IET Image Processing
سال: 2021
ISSN: 1751-9659,1751-9667
DOI: 10.1049/ipr2.12289