1018 search results - page 12 / 204 » Learning Probabilistic Models of Contours |
ECML
2007
Springer
15 years 6 months ago
2007
Springer
Abstract. Existing relational learning approaches usually work on complete relational data, but real-world data are often incomplete. This paper proposes the MGDA approach to learn...
120
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CVPR
2008
IEEE
16 years 1 months ago
2008
IEEE
This paper proposes a computational system of object categorization based on decomposition and adaptive fusion of visual information. A coupled Conditional Random Field is develop...
107
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ECCV
2010
Springer
15 years 3 months ago
2010
Springer
Detection, tracking, segmentation and pose estimation of people in monocular images are widely studied. Two-dimensional models of the human body are extensively used, however, they...
CIMCA
2005
IEEE
15 years 5 months ago
2005
IEEE
We give a fast and practical algorithm for statistical learning hyperparameters from observable data in probabilistic image processing, which is based on Gaussian graphical model ...
120
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ICIP
2006
IEEE
16 years 1 months ago
2006
IEEE
In this paper we propose a new framework for modeling 2D shapes. A shape is first described by a sequence of local features (e.g., curvature) of the shape boundary. The resulting ...