ADMM algorithms for matrix completion problem in noisy settings
Matrix completion (MC) is a fundamental linear algebra problem to fully recover a low-rank matrix from its incomplete data. It is widely applied in machine learning and statistics, varied from wireless communication, image compression to collaborative filtering. Meanwhile, Alternating Direction Meth...
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格式: | Final Year Project |
語言: | English |
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Nanyang Technological University
2021
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在線閱讀: | https://hdl.handle.net/10356/148502 |
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