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CIARP
2008
Springer
14 years 11 months ago
2008
Springer
The performance of supervised learners depends on the presence of a relatively large labeled sample. This paper proposes an automatic ongoing learning system, which is able to inco...
UAI
1993
14 years 11 months ago
1993
In previous work we developed a method of learning Bayesian Network models from raw data. This method relies on the well known minimal description length (MDL) principle. The MDL ...
BVAI
2005
Springer
15 years 3 months ago
2005
Springer
A visual system not only needs to recognize a stimulus, it also needs to find the location of the stimulus. In this paper, we present a neural network model that is able to genera...
CVPR
2007
IEEE
15 years 11 months ago
2007
IEEE
In this paper we present a method for learning a curve model for detection and segmentation by closely integrating a hierarchical curve representation using generative and discrim...
ICIAR
2009
Springer
14 years 7 months ago
2009
Springer
In this paper an approach to recover the 3D human body pose from static images is proposed. We adopt a discriminative learning technique to directly infer the 3D pose from appearan...