1427 search results - page 99 / 286 » Markov Random Field Modeling in Computer Vision |
ICPR
2008
IEEE
14 years 3 months 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...
CVPR
2010
IEEE
14 years 5 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...
ICCV
1999
IEEE
14 years 11 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...
GECCO
2007
Springer
14 years 3 months 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...
UAI
2008
13 years 10 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...