417 search results - page 29 / 84 » Supervised Image Segmentation Using Markov Random Fields |
105
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ECCV
2008
Springer
16 years 1 months ago
2008
Springer
Abstract. As part of an architectural modeling project, this paper investigates the problem of understanding and manipulating images of buildings. Our primary motivation is to auto...
ECCV
2006
Springer
16 years 1 months ago
2006
Springer
This paper introduces the Located Hidden Random Field (LHRF), a conditional model for simultaneous part-based detection and segmentation of objects of a given class. Given a traini...
165
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Publication
Drawbacks of the traditional scenario of image modeling by Gibbs random fields with multiple pairwise pixel interactions are outlined, and a more reasonable alternative scenario b...
108
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SIGIR
2003
ACM
15 years 5 months ago
2003
ACM
The ability to find tables and extract information from them is a necessary component of data mining, question answering, and other information retrieval tasks. Documents often c...
CVPR
2010
IEEE
15 years 8 months ago
2010
IEEE
Seeded image segmentation is a popular type of supervised image segmentation in computer vision and image processing. Previous methods of seeded image segmentation treat the image...