2178 search results - page 239 / 436 » Inferring complex plans |
163
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ICDE
2009
IEEE
15 years 2 months ago
2009
IEEE
Many real world applications such as sensor networks and other monitoring applications naturally generate probabilistic streams that are highly correlated in both time and space. ...
157
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JMLR
2010
14 years 11 months ago
2010
Deep belief networks are a powerful way to model complex probability distributions. However, it is difficult to learn the structure of a belief network, particularly one with hidd...
298
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ICCV
2011
IEEE
14 years 4 months ago
2011
IEEE
Complex human activities occurring in videos can be defined in terms of temporal configurations of primitive actions. Prior work typically hand-picks the primitives, their total...
156
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JMLR
2012
13 years 6 months ago
2012
Often when modeling structured domains, it is desirable to leverage information that is not naturally expressed as simply a label. Examples include knowledge about the evaluation ...
183
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CVPR
2012
IEEE
13 years 6 months ago
2012
IEEE
This paper addresses the discovery of activities and learns the underlying processes that govern their occurrences over time in complex surveillance scenes. To this end, we propos...