Maximal Linear Embedding for Dimensionality Reduction
Over the past few decades, dimensionality reduction has been widely exploited in computer vision and pattern analysis. This paper proposes a simple but effective nonlinear dimensionality reduction algorithm, named Maximal Linear Embedding (MLE). MLE learns a parametric mapping to recover a single gl...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 33(2011), 9 vom: 24. Sept., Seite 1776-92
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| 1. Verfasser: |
Wang, Ruiping
(VerfasserIn) |
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| Weitere Verfasser: |
Shan, Shiguang,
Chen, Xilin,
Chen, Jie,
Gao, Wen |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2011
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on pattern analysis and machine intelligence
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| Schlagworte: | Journal Article
Research Support, Non-U.S. Gov't |
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