Results 271 to 280 of about 3,392,268 (301)

Spatiotemporal Representation of Dynamic Scences

2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2019
We present a novel representation of dynamic scenes perceived by moving agents. This type of environments require constant updates of the map information that uses conventional geometric representations due to the changing relative position of dynamic object to the static scene.
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Spatiotemporal dynamics of optical molecular motors

Physical Review E, 2003
The spatiotemporal dynamics of optical molecular motors is simulated on the basis of a spatially resolved model. A spatially dependent Fokker-Planck model for the molecular motors is linked with Maxwell's wave equation describing the external excitation via a spatially inhomogeneous light field.
Edeltraud, Gehrig, Ortwin, Hess
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Spatiotemporal nonlinear dynamics of a magnetoelastic ribbon

Physical Review E, 2001
Magnetoelastic materials have a strong coupling between strain and magnetization, so applying a magnetic field to a magnetoelastic material can change its shape. This coupling leads to interesting dynamics. We have studied the dynamics of a wide ribbon of Metglass 2605sc which was driven by a magnetic field.
T L, Carroll, M D, Todd, F J, Rachford, L M, Pecora   +3 more
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Graph Learning for Spatiotemporal Dynamic Signal

ICC 2019 - 2019 IEEE International Conference on Communications (ICC), 2019
We address the problem of learning hidden graph structure from spatiotemporal signals which are prevalent in distributed sensor networks. Based on a space-time representation model that takes into account correlated properties in dynamic evolution, we formulate the graph learning problem as a regularized multi-convex optimization problem. A correlation-
Yueliang Liu, Kangyong You, Wenbin Guo, Tao Peng 0001, Wenbo Wang 0007   +4 more
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Probabilistic Inference for Spatiotemporal Dynamics

Simulation and inference are cornerstones of scientific inquiry. Numerous domains and applications can integrate advanced machine-learning methods for reasoning from prior mechanistic knowledge and data. Probabilistic approaches take into account the uncertainty associated with observations and the physical model.
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Statistical properties of spatiotemporal dynamical systems

Physical Review E, 1993
In this paper we consider spatiotemporal dynamical systems modeled by coupled, or uncoupled but noise-driven, map lattices. In particular, we examine reports in the literature where it is found that the distribution of certain mean-field quantities violates the law of large numbers (hence nonstatistical) but not the central-limit theorem.
, Ding, , Wille
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Dynamically Spatiotemporal Regularized Correlation Tracking

IEEE Transactions on Neural Networks and Learning Systems, 2019
Recently, due to the high performance, spatially regularized strategy has been widely applied to addressing the issue of boundary effects existed in correlation filter (CF)-based visual tracking. Specifically, it introduces a spatially regularized term to penalize the coefficients of the CFs to be learned depending on their spatial locations.
Yuhui Zheng, Huihui Song 0003, Kaihua Zhang 0001, Jiaqing Fan, Xinyan Liu 0002   +4 more
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STATISTICAL APPROACH TO MODELING OF SPATIOTEMPORAL DYNAMICS

International Journal of Bifurcation and Chaos, 2001
Often in the analysis of spatially extended dynamic systems, we do not know an analytical model of the system dynamics, but we can provide spatiotemporal records of the characteristic state variable. The question then arises of how to extract a model of the system dynamics from the corresponding data.
Simon Mandelj, Igor Grabec, Edvard Govekar   +2 more
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Scaling of spatiotemporal correlation in ordering dynamics

Physical Review B, 1990
Etude numerique de la loi d'echelle pour la fonction de correlation spatiotemporelle dans un systeme subissant une separation de phase. Analyse de la fonction de correlation temporelle du parametre d'ordre pour des nombres d'onde non nuls.
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Spatiotemporal dynamics of an intrinsically chaotic field

Physical Review E, 1993
In contrast to earlier nonlinear-dynamics investigations concerning the consequences of coupling limit-cycle oscillators, we propose the conceptionally simple extension of studying the interaction dynamics of chaotic subsystems. We illustrate this by simulating a ``toy system,'' the dynamics of a linear chain of damped-driven pendulums where the state ...
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