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163
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CDC
2009
IEEE
15 years 10 months ago
2009
IEEE
— This paper presents the optimal joint filtering and parameter identification problem for uncertain linear stochastic systems with unknown parameters in both state and observa...
217
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ECCV
2010
Springer
15 years 10 months ago
2010
Springer
Abstract. In this paper, we address the problem of tracking the temporal evolution of arbitrary shapes observed in multi-camera setups. This is motivated by the ever growing number...
192
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AAAI
2010
15 years 8 months ago
2010
Partially Observable Markov Decision Processes (POMDPs) are a well-established and rigorous framework for sequential decision-making under uncertainty. POMDPs are well-known to be...
183
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BILDMED
2008
15 years 8 months ago
2008
A major problem in magnetic resonance imaging (MRI) is the lack of a pulse sequence dependent standardized intensity scale like the Hounsfield units in computed tomography. This af...
173
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ICMLA
2008
15 years 8 months ago
2008
High dimensionality of belief space in Partially Observable Markov Decision Processes (POMDPs) is one of the major causes that severely restricts the applicability of this model. ...