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121
Voted
CDC
2010
IEEE
14 years 8 months ago
2010
IEEE
The primary contribution of this paper is an algorithm capable of identifying parameters in certain mixed linear/nonlinear state-space models, containing conditionally linear Gauss...
102
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AUTOMATICA
2007
15 years 1 months ago
2007
— In this paper, we present a stable receding horizon model predictive control for discrete-time nonlinear systems. The standard MPC scheme is modified to incorporate (1) a bloc...
PAMI
2008
15 years 1 months ago
2008
Mixture of Gaussians (MoG) model is a useful tool in statistical learning. In many learning processes that are based on mixture models, computational requirements are very demandin...
118
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BMVC
2002
15 years 4 months ago
2002
Recently, there have been several attempts at creating `video textures', that is, synthesising new (potentially infinitely long) video clips based on existing ones. One way t...
113
Voted
SCALESPACE
1999
Springer
15 years 6 months ago
1999
Springer
In this paper we develop partial differential equations (PDEs) that model the generation of a large class of morphological filters, the levelings and the openings/closings by rec...