63 search results - page 7 / 13 » A parametric programming approach to moving-horizon state es... |
105
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BMCBI
2007
14 years 11 months ago
2007
Background: Current approaches to parameter estimation are often inappropriate or inconvenient for the modelling of complex biological systems. For systems described by nonlinear ...
99
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AROBOTS
1999
14 years 10 months ago
1999
We use reinforcement learning (RL) to compute strategies for multiagent soccer teams. RL may pro t signi cantly from world models (WMs) estimating state transition probabilities an...
100
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CORR
2008
Springer
14 years 11 months ago
2008
Springer
In this paper, we focus on statistical region-based active contour models where image features (e.g. intensity) are random variables whose distribution belongs to some parametric ...
85
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ECCV
2010
Springer
15 years 4 months ago
2010
Springer
Abstract. We describe an efficient approach to construct shape models composed of contour parts with partially-supervised learning. The proposed approach can easily transfer parts ...
CDC
2008
IEEE
15 years 5 months ago
2008
IEEE
Abstract— This paper proposes a novel two-stage optimization method for robust Model Predictive Control (RMPC) with Gaussian disturbance and state estimation error. Since the dis...