1018 search results - page 112 / 204 » Learning Probabilistic Models of Contours |
ECCV
2008
Springer
15 years 12 months ago
2008
Springer
As richer models for stereo vision are constructed, there is a growing interest in learning model parameters. To estimate parameters in Markov Random Field (MRF) based stereo formu...
STOC
1993
ACM
15 years 2 months ago
1993
ACM
In this paper, we study the problem of learning in the presence of classification noise in the probabilistic learning model of Valiant and its variants. In order to identify the cl...
ICPR
2008
IEEE
15 years 4 months ago
2008
IEEE
This paper develops a weakly supervised algorithm that learns to segment rigid multi-colored objects from a set of training images and key points. The approach uses congealing to ...
SEAL
2010
Springer
14 years 8 months ago
2010
Springer
During engineering design, it is often difficult to quantify product reliability because of insufficient data or information for modeling the uncertainties. In such cases, one need...
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SIAMIS
2010
14 years 4 months ago
2010
This article proposes a new method for image separation into a linear combination of morphological components. Sparsity in fixed dictionaries is used to extract the cartoon and osc...