1018 search results - page 74 / 204 » Learning Probabilistic Models of Contours |
117
Voted
APIN
1999
15 years 2 months ago
1999
We present a method for mapping a given Bayesian network to a Boltzmann machine architecture, in the sense that the the updating process of the resulting Boltzmann machine model pr...
126
Voted
ICML
2007
IEEE
16 years 3 months ago
2007
IEEE
The Gaussian process latent variable model (GP-LVM) is a powerful approach for probabilistic modelling of high dimensional data through dimensional reduction. In this paper we ext...
120
Voted
NIPS
2007
15 years 4 months ago
2007
We present a probabilistic generative model of visual attributes, together with an efficient learning algorithm. Attributes are visual qualities of objects, such as ‘red’, ...
156
Voted
CVIU
2011
14 years 6 months ago
2011
In this paper, we aim to reconstruct free-form 3D models from only one or few silhouettes by learning the prior knowledge of a specific class of objects. Instead of heuristically...
120
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ECCV
2006
Springer
16 years 4 months ago
2006
Springer
Abstract. Foreground and background segmentation is a typical problem in computer vision and medical imaging. In this paper, we propose a new learning based approach for 3D segment...