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CVPR
2012
IEEE
10 years 2 months ago
Understanding collective crowd behaviors: Learning a Mixture model of Dynamic pedestrian-Agents
In this paper, a new Mixture model of Dynamic pedestrian-Agents (MDA) is proposed to learn the collective behavior patterns of pedestrians in crowded scenes. Collective behaviors ...
Bolei Zhou, Xiaogang Wang, Xiaoou Tang
CORR
2012
Springer
187views Education» more  CORR 2012»
10 years 7 months ago
Sequential Inference for Latent Force Models
Latent force models (LFMs) are hybrid models combining mechanistic principles with non-parametric components. In this article, we shall show how LFMs can be equivalently formulate...
Jouni Hartikainen, Simo Särkkä
EUSFLAT
2007
116views Fuzzy Logic» more  EUSFLAT 2007»
12 years 1 months ago
Experiences in Soft Computing and Dynamical Simulation
The paper deals with the modelling of dynamical processes based on Soft Computing methods. The structure of a Dynamic Fuzzy Model is illustrated on a linear dynamic system of firs...
Wolfgang Kästner, Rainer Hampel
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