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» Accurate hybridization of nonlinear systems
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ICTAI
2005
IEEE
14 years 3 months ago
Hybrid Learning Neuro-Fuzzy Approach for Complex Modeling Using Asymmetric Fuzzy Sets
A hybrid learning neuro-fuzzy system with asymmetric fuzzy sets (HLNFS-A) is proposed in this paper. The learning methods of random optimization (RO) and least square estimation (...
Chunshien Li, Kuo-Hsiang Cheng, Jiann-Der Lee
ICCV
2001
IEEE
14 years 12 months ago
People Tracking Using Hybrid Monte Carlo Filtering
Particle filters are used for hidden state estimation with nonlinear dynamical systems. The inference of 3-d human motion is a natural application, given the nonlinear dynamics of...
Kiam Choo, David J. Fleet
CG
1999
Springer
13 years 9 months ago
Tracking in unprepared environments for augmented reality systems
Many Augmented Reality applications require accurate tracking. Existing tracking techniques require prepared environments to ensure accurate results. This paper motivates the need...
Ronald Azuma, Jong Weon Lee, Bolan Jiang, Jun Park...
TIP
2008
107views more  TIP 2008»
13 years 9 months ago
Accurate Inversion of 3-D Transformation Fields
Abstract--This correspondence addresses the inversion of 3-D transformation fields, which is a problem that typically arises in image warping problems. A topology preserving parame...
Vincent Noblet, Christian Heinrich, Fabrice Heitz,...
WSC
2001
13 years 11 months ago
Hybrid agent-based simulation for analyzing the national airspace system
Hybrid agent-based simulation is required to provide a mechanism for analyzing large-scale complex systems, such as the National Airspace System (NAS). The dynamic behavior of man...
Seungman Lee, Amy R. Pritchett, David Goldsman