An analysis of sketched IRLS for accelerated sparse residual regression
This paper studies the problem of sparse residual regression, i.e., learning a linear model using a norm that favors solutions in which the residuals are sparsely distributed. This is a common problem in a wide range of computer vision applications where a linear system has a lot more equations than...
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Main Authors: | IWATA, Daichi, WAECHTER, Michael, LIN, Wen-yan, MATSUSHITA, Yasuyuki |
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Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2020
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Subjects: | |
Online Access: | https://ink.library.smu.edu.sg/sis_research/6110 https://ink.library.smu.edu.sg/context/sis_research/article/7113/viewcontent/123570596.pdf |
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Institution: | Singapore Management University |
Language: | English |
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