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» Computationally Efficient Neural Field Dynamics
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GRID
2007
Springer
14 years 1 months ago
Load prediction using hybrid model for computational grid
—Due to the dynamic nature of grid environments, schedule algorithms always need assistance of a long-time-ahead load prediction to make decisions on how to use grid resources ef...
Yongwei Wu, Yulai Yuan, Guangwen Yang, Weimin Zhen...
GRAPHICSINTERFACE
2004
13 years 8 months ago
A Hybrid Physical/Device-Space Approach for Spatio-Temporally Coherent Interactive Texture Advection on Curved Surfaces
We propose a novel approach for a dense texture-based visualization of vector fields on curved surfaces. Our texture advection mechanism relies on a Lagrangian particle tracing th...
Daniel Weiskopf, Thomas Ertl
IJCNN
2008
IEEE
14 years 1 months ago
Learning to select relevant perspective in a dynamic environment
— When an agent observes its environment, there are two important characteristics of the perceived information. One is the relevance of information and the other is redundancy. T...
Zhihui Luo, David A. Bell, Barry McCollum, Qingxia...
CVPR
2007
IEEE
14 years 9 months ago
Discriminative Learning of Dynamical Systems for Motion Tracking
We introduce novel discriminative learning algorithms for dynamical systems. Models such as Conditional Random Fields or Maximum Entropy Markov Models outperform the generative Hi...
Minyoung Kim, Vladimir Pavlovic
JCP
2008
126views more  JCP 2008»
13 years 7 months ago
Hardware/Software Co-design Approach for an ADALINE Based Adaptive Control System
Abstract--In this paper, we report some results on hardware and software co-design of an adaptive linear neuron (ADALINE) based control system. A discrete-time Proportional-Integra...
Shouling He, Xuping Xu