1018 search results - page 12 / 204 » Learning Probabilistic Models of Contours |
ECML
2007
Springer
15 years 4 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...
104
click to vote
CVPR
2008
IEEE
15 years 11 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...
ECCV
2010
Springer
15 years 1 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 3 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 ...
102
click to vote
ICIP
2006
IEEE
15 years 11 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 ...