Pottics - The Potts Topic Model for Semantic Image Segmentation

Dann, C.; Gehler, P.; Roth, S.; Nowozin, S.

doi:10.1007/978-3-642-32717-9_40

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Pottics - The Potts Topic Model for Semantic Image Segmentation

Dann, C., Gehler, P., Roth, S., & Nowozin, S. (2012). Pottics - The Potts Topic Model for Semantic Image Segmentation. In A. Pinz, T. Pock, & H. Bischof (Eds.), Pattern recognition: joint 34th DAGM and 36th OAGM symposium. Proceedings (pp. 397-407). Springer.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-000E-E939-A Version Permalink: https://hdl.handle.net/11858/00-001M-0000-0026-CB0B-F

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Creators:
Dann, C.¹, Author
Gehler, P.², Author
Roth, S.¹, Author
Nowozin, S.¹, Author

Affiliations:
1External Organizations, ou_persistent22
2Dept. Perceiving Systems, Max Planck Institute for Intelligent Systems, Max Planck Society, ou_1497642

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Dates: Date issued: 2012-08

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Identifiers: BibTex Citekey: dann12dagm
DOI: 10.1007/978-3-642-32717-9_40

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Title: Pattern recognition: joint 34th DAGM and 36th OAGM symposium. Proceedings

Source Genre: Proceedings

Creator(s):
Pinz, A.¹, Editor
Pock, T.¹, Editor
Bischof, H.¹, Editor
Leberl, F.¹, Author

Affiliations:
1 External Organizations, ou_persistent22

Publ. Info: Springer

Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 397 - 407 Identifier: -

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Title: Lecture Notes in Computer Science

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Pages: - Volume / Issue: 7476 Sequence Number: - Start / End Page: - Identifier: -