A Generalized Structured Low-Rank Matrix Completion Algorithm for MR Image Recovery
نویسندگان
چکیده
منابع مشابه
Low-Rank Matrix Completion
While datasets are frequently represented as matrices, real-word data is imperfect and entries are often missing. In many cases, the data are very sparse and the matrix must be filled in before any subsequent work can be done. This optimization problem, known as matrix completion, can be made well-defined by assuming the matrix to be low rank. The resulting rank-minimization problem is NP-hard,...
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ژورنال
عنوان ژورنال: IEEE Transactions on Medical Imaging
سال: 2019
ISSN: 0278-0062,1558-254X
DOI: 10.1109/tmi.2018.2886290