922 search results - page 97 / 185 » Learning Gaussian Process Models from Uncertain Data |
158
Voted
CVPR
2008
IEEE
16 years 4 months ago
2008
IEEE
Current approaches to pose estimation and tracking can be classified into two categories: generative and discriminative. While generative approaches can accurately determine human...
147
Voted
AAAI
2000
15 years 4 months ago
2000
Due to the large variation and richness of visual inputs, statistical learning gets more and more concerned in the practice of visual processing such as visual tracking and recogn...
106
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FS
2006
15 years 2 months ago
2006
Fads models were introduced by Shiller (1984) and Summers (1986) as plausible alternatives to the efficient markets/constant expected returns assumptions. Under these models, loga...
141
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NLPRS
2001
Springer
15 years 7 months ago
2001
Springer
Recent research in automated learning has focused on algorithms that learn from a combination of tagged and untagged data. Such algorithms can be referred to as semi-supervised in...
114
Voted
CORR
2012
Springer
13 years 10 months ago
2012
Springer
Latent force models (LFMs) are hybrid models combining mechanistic principles with non-parametric components. In this article, we shall show how LFMs can be equivalently formulate...