995 search results - page 117 / 199 » Learning Useful Horn Approximations |
108
Voted
UAI
2004
15 years 2 months ago
2004
Generalized belief propagation (GBP) has proven to be a promising technique for approximate inference tasks in AI and machine learning. However, the choice of a good set of cluste...
96
Voted
ECCC
2010
15 years 24 days ago
2010
Much work has been done on learning various classes of "simple" monotone functions under the uniform distribution. In this paper we give the first unconditional lower bo...
117
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ICDAR
2011
IEEE
14 years 9 days ago
2011
IEEE
—We present an OCR-driven writer identification algorithm in this paper. Our algorithm learns writer-specific characteristics more precisely from explicit character alignment usi...
114
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CORR
2012
Springer
13 years 8 months ago
2012
Springer
Approximating non-linear kernels using feature maps has gained a lot of interest in recent years due to applications in reducing training and testing times of SVM classifiers and...
127
Voted
ICCV
2011
IEEE
14 years 22 days ago
2011
IEEE
Learning good image priors is of utmost importance for the study of vision, computer vision and image processing applications. Learning priors and optimizing over whole images can...