Markov Random Field modeling, inference & learning in computer vision & image understanding: A survey (English)
- New search for: Wang, Chaohui
- New search for: Wang, Chaohui
- New search for: Komodakis, Nikos
- New search for: Paragios, Nikos
In:
Computer vision and image understanding
;
117
, 11
; 1610-1627
;
2013
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ISSN:
- Article (Journal) / Print
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Title:Markov Random Field modeling, inference & learning in computer vision & image understanding: A survey
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Contributors:
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Published in:Computer vision and image understanding ; 117, 11 ; 1610-1627
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Publisher:
- New search for: Elsevier
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Place of publication:San Diego, Calif.
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Publication date:2013
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ISSN:
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ZDBID:
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Type of media:Article (Journal)
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Type of material:Print
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Language:English
- New search for: 54.73 / 54.74 / 30.03
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Keywords:
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Classification:
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Source:
Table of contents – Volume 117, Issue 11
The tables of contents are generated automatically and are based on the data records of the individual contributions available in the index of the TIB portal. The display of the Tables of Contents may therefore be incomplete.
- 1549
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EM-GPA: Generalized Procrustes analysis with hidden variables for 3D shape modelingCho, Jungchan / Lee, Minsik / Choi, Chong-Ho / Oh, Songhwai et al. | 2013
- 1560
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Cooperative estimation of human motion and surfaces using multiview videosLuo, Weilan / Yamasaki, Toshihiko / Aizawa, Kiyoharu et al. | 2013
- 1575
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Multi-object reconstruction from dynamic scenes: An object-centered approachShin, Young Min / Cho, Minsu / Lee, Kyoung Mu et al. | 2013
- 1589
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A novel background subtraction method based on color invariantsZhou, Hong / Chen, Yiru / Feng, Rong et al. | 2013
- 1598
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Invariant representation of facial expressions for blended expression recognition on unknown subjectsSoladié, Catherine / Stoiber, Nicolas / Séguier, Renaud et al. | 2013
- 1610
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Markov Random Field modeling, inference & learning in computer vision & image understanding: A surveyWang, Chaohui / Komodakis, Nikos / Paragios, Nikos et al. | 2013
- 1628
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Manifold surface reconstruction of an environment from sparse Structure-from-Motion dataLhuillier, Maxime / Yu, Shuda et al. | 2013
- IFC
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COV2: Ed. Board| 2013