2103 search results - page 150 / 421 » Approximate Learning of Dynamic Models |
153
Voted
BPM
2008
Springer
15 years 7 months ago
2008
Springer
In today's dynamic business world economic success of an enterprise increasingly depends on its ability to react to internal and external changes in a quick and flexible way. ...
154
Voted
WORM
2004
15 years 6 months ago
2004
A major challenge when attempting to analyze and model large-scale Internet phenomena such as the dynamics of global worm propagation is finding ate abstractions that allow us to ...
140
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ICML
2006
IEEE
16 years 5 months ago
2006
IEEE
We introduce Hidden Process Models (HPMs), a class of probabilistic models for multivariate time series data. The design of HPMs has been motivated by the challenges of modeling h...
193
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CVPR
2009
IEEE
17 years 2 days 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...
134
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CVPR
2008
IEEE
16 years 7 months ago
2008
IEEE
Prior distributions are useful for robust low-level vision, and undirected models (e.g. Markov Random Fields) have become a central tool for this purpose. Though sometimes these p...