Partial Membership Latent Dirichlet Allocation for Soft Image Segmentation
Topic models [e.g., probabilistic latent semantic analysis, latent Dirichlet allocation (LDA), and supervised LDA] have been widely used for segmenting imagery. However, these models are confined to crisp segmentation, forcing a visual word (i.e., an image patch) to belong to one and only one topic....
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - 26(2017), 12 vom: 09. Dez., Seite 5590-5602
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| 1. Verfasser: |
Chen, Chao
(VerfasserIn) |
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| Weitere Verfasser: |
Zare, Alina,
Trinh, Huy N,
Omotara, Gbenga O,
Cobb, James Tory,
Lagaunne, Timotius A |
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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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