417 search results - page 46 / 84 » Supervised Image Segmentation Using Markov Random Fields |
131
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ICIP
2001
IEEE
16 years 4 months ago
2001
IEEE
This paper introduces a video object segmentation algorithm developed in the context of the European project Art.live1 where constraints on the quality of segmentation and the pro...
114
Voted
NAACL
2010
15 years 10 days ago
2010
Extraction of entities from ad creatives is an important problem that can benefit many computational advertising tasks. Supervised and semi-supervised solutions rely on labeled da...
122
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ACL
2009
15 years 8 days ago
2009
In this paper, we analyze the impact of different automatic annotation methods on the performance of supervised approaches to the complex question answering problem (defined in th...
117
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ICIP
2010
IEEE
15 years 12 days ago
2010
IEEE
Based on the theory of Markov Random Fields, a Bayesian regularization model for diffusion tensor images (DTI) is proposed in this paper. The low-degree parameterization of diffus...
109
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CVIU
2007
15 years 2 months ago
2007
This article proposes a generative image model, which is called ‘‘primal sketch,’’ following Marr’s insight and terminology. This model combines two prominent classes of...