3240 search results - page 601 / 648 » Pre-aggregation with probability distributions |
151
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NIPS
2001
15 years 7 months ago
2001
Partial information can trigger a complete memory. At the same time, human memory is not perfect. A cue can contain enough information to specify an item in memory, but fail to tr...
154
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SODA
2001
ACM
15 years 7 months ago
2001
ACM
Markov networks are a common class of graphical models used in machine learning. Such models use an undirected graph to capture dependency information among random variables in a ...
172
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UAI
2004
15 years 7 months ago
2004
Based on a recent development in the area of error control coding, we introduce the notion of convolutional factor graphs (CFGs) as a new class of probabilistic graphical models. ...
167
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NIPS
2003
15 years 7 months ago
2003
We describe a Markov chain method for sampling from the distribution of the hidden state sequence in a non-linear dynamical system, given a sequence of observations. This method u...
183
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NIPS
2003
15 years 7 months ago
2003
The detection and pose estimation of people in images and video is made challenging by the variability of human appearance, the complexity of natural scenes, and the high dimensio...