922 search results - page 118 / 185 » Learning Gaussian Process Models from Uncertain Data |
161
Voted
PAMI
2011
14 years 9 months ago
2011
—Inferring latent structures from observations helps to model and possibly also understand underlying data generating processes. A rich class of latent structures are the latent ...
171
Voted
CVPR
2009
IEEE
16 years 9 months ago
2009
IEEE
We present a novel method for modeling dynamic visual
phenomena, which consists of two key aspects. First, the in-
tegral motion of constituent elements in a dynamic scene is
ca...
124
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CIKM
2007
Springer
15 years 8 months ago
2007
Springer
Challenging the implicit reliance on document collections, this paper discusses the pros and cons of using query logs rather than document collections, as self-contained sources o...
135
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GECCO
2008
Springer
15 years 3 months ago
2008
Springer
Selective sampling is a form of active learning which can reduce the cost of training by only drawing informative data points into the training set. This selected training set is ...
138
Voted
ICDE
2010
IEEE
15 years 6 months ago
2010
IEEE
Modern science is collecting massive amounts of data from sensors, instruments, and through computer simulation. It is widely believed that analysis of this data will hold the key ...