Subspace Estimation From Incomplete Observations: A High-Dimensional Analysis
نویسندگان
چکیده
منابع مشابه
Subspace Estimation from Incomplete Observations: A Precise High-Dimensional Analysis
The problem of estimating and tracking low-rank subspaces from incomplete observations has received a lot of attention recently in the signal processing and learning communities. Popular algorithms, such as GROUSE [1] and PETRELS [2], are often very effective in practice, but their performance depends on the careful choice of algorithmic parameters. Important questions, such as the global conve...
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ژورنال
عنوان ژورنال: IEEE Journal of Selected Topics in Signal Processing
سال: 2018
ISSN: 1932-4553,1941-0484
DOI: 10.1109/jstsp.2018.2877405