Abstract | ||
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•We first proposed the importance of factor matrices in compression performance.•We thoroughly discuss about correlation and factor matrix in this paper.•We propose our correlation-based Tucker decomposition method.•The proposed method can be directly used in most Tucker-based methods. |
Year | DOI | Venue |
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2021 | 10.1016/j.neucom.2020.08.073 | Neurocomputing |
Keywords | DocType | Volume |
Correlation,Hyperspectral image compression,Tucker decomposition (TD) | Journal | 419 |
ISSN | Citations | PageRank |
0925-2312 | 0 | 0.34 |
References | Authors | |
0 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Rui Li | 1 | 209 | 59.97 |
Zhibin Pan | 2 | 276 | 37.59 |
Yang Wang | 3 | 5 | 2.76 |
Ping Wang | 4 | 10 | 12.69 |