1427 search results - page 99 / 286 » Markov Random Field Modeling in Computer Vision |
202
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ICPR
2008
IEEE
16 years 21 days ago
2008
IEEE
This paper proposes a new approach to describe the salient contours in cluttered scenes. No need to do the preprocessing, such as edge detection, we directly use a set of random s...
165
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CVPR
2010
IEEE
16 years 2 months ago
2010
IEEE
Object recognition is challenging due to high intra-class
variability caused, e.g., by articulation, viewpoint changes,
and partial occlusion. Successful methods need to strike a...
149
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ICCV
1999
IEEE
16 years 8 months ago
1999
IEEE
In human perception, convex surfaces have a strong tendency to be perceived as the "figure". Convexity has a stronger influence on figural organization than other global...
156
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GECCO
2007
Springer
16 years 13 days ago
2007
Springer
Markov Networks (also known as Markov Random Fields) have been proposed as a new approach to probabilistic modelling in Estimation of Distribution Algorithms (EDAs). An EDA employ...
187
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UAI
2008
15 years 7 months ago
2008
Gaussian Markov random fields (GMRFs) are useful in a broad range of applications. In this paper we tackle the problem of learning a sparse GMRF in a high-dimensional space. Our a...