PCANet : A Simple Deep Learning Baseline for Image Classification?
In this paper, we propose a very simple deep learning network for image classification that is based on very basic data processing components: 1) cascaded principal component analysis (PCA); 2) binary hashing; and 3) blockwise histograms. In the proposed architecture, the PCA is employed to learn mu...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 24(2015), 12 vom: 01. Dez., Seite 5017-32
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| 1. Verfasser: |
Chan, Tsung-Han
(VerfasserIn) |
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| Weitere Verfasser: |
Jia, Kui,
Gao, Shenghua,
Lu, Jiwen,
Zeng, Zinan,
Ma, Yi |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2015
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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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