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We state the problem of inverse reinforcement learning in terms of preference elicitation, resulting in a principled (Bayesian) statistical formulation. This generalises previous w...
MCS
2006
Springer
14 years 9 months ago
2006
Springer
For interface-tracking simulation of two-phase flows, we propose a new computational method, NS-PFM, combining Navier-Stokes (NS) equations with phase-field model (PFM). Based on ...
IJCNN
2000
IEEE
15 years 2 months ago
2000
IEEE
In this paper we show that rotational invariance can be improved in a neural network based EIT reconstruction approach by a suitably chosen permutation of the input data. The inpu...
ICCV
2005
IEEE
15 years 3 months ago
2005
IEEE
In this paper we consider the problem of computing and removing interreflections in photographs of real scenes. Towards this end, we introduce the problem of inverse light transp...
IMR
2004
Springer
15 years 3 months ago
2004
Springer
In the finite element analysis that deals with large deformation, the process usually produces distorted elements at the later stages of the analysis. These distorted elements lea...