1183 search results - page 46 / 237 » Learning Process Models with Missing Data |
108
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IJNS
2010
14 years 12 months ago
2010
Abstract: Cascade process, such as wastewater treatment plant, includes many nonlinear subsystems and many variables. When the number of sub-systems is big, the input-output relati...
124
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IPSN
2004
Springer
15 years 6 months ago
2004
Springer
Due to constraints in cost, power, and communication, losses often arise in large sensor networks. The sensor can be modeled as an output of a linear stochastic system with random...
128
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ICIP
1998
IEEE
16 years 2 months ago
1998
IEEE
We describe a new invariant-based data model for image databases under our approach for shape-based retrieval. The data model relies on contours description of the image shape, an...
118
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ICPR
2008
IEEE
15 years 7 months ago
2008
IEEE
The goal of this article is to present an effective and robust tracking algorithm for nonlinear feet motion by deploying particle filter integrated with Gaussian process latent v...
103
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ICML
2005
IEEE
16 years 2 months ago
2005
IEEE
When monitoring spatial phenomena, which are often modeled as Gaussian Processes (GPs), choosing sensor locations is a fundamental task. A common strategy is to place sensors at t...