2D Feature Selection by Sparse Matrix Regression
For many image processing and computer vision problems, data points are in matrix form. Traditional methods often convert a matrix into a vector and then use vector-based approaches. They will ignore the location of matrix elements and the converted vector often has high dimensionality. How to selec...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 26(2017), 9 vom: 14. Sept., Seite 4255-4268
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| 1. Verfasser: |
Hou, Chenping
(VerfasserIn) |
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| Weitere Verfasser: |
Jiao, Yuanyuan,
Nie, Feiping,
Luo, Tingjin,
Zhou, Zhi-Hua |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2017
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
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| Schlagworte: | Journal Article |
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