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Regularized Semi-Nonnegative Matrix Factorization Using L21-Norm for Data Compression

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Citation Author(s):
Submitted by:
SigPort Admin .
Last updated:
2 March 2021 - 11:13am
Document Type:
Presentation Slides
Document Year:
2021
Event:
Presenters Name:
Anthony Rhodes, Bin Jiang
Paper Code:
DCC 2021
Categories:

Abstract 

Abstract: 

Data reduction algorithms, including matrix factorization techniques, represent an essential component of many ML systems.One popular paradigm of matrix factorizations includes Non-Negative Matrix Factorization (NMF).

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Dataset Files

DCC L21 Rhodes Slides.pptx

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