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» Further results for ARX models in adaptive tracking
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AAAI
2006
13 years 9 months ago
LOCATE Intelligent Systems Demonstration: Adapting Help to the Cognitive Styles of Users
LOCATE is workspace layout design software that also serves as a testbed for developing and refining principles of adaptive aiding. This demonstration illustrates LOCATE's ab...
Jack L. Edwards, Greg Scott
MOBIHOC
2009
ACM
14 years 8 months ago
Fault tolerant target tracking in sensor networks
In this paper, we present a Gaussian mixture model based approach to capture the spatial characteristics of any target signal in a sensor network, and further propose a temporally...
Min Ding, Xiuzhen Cheng
ICCV
2007
IEEE
14 years 9 months ago
Robust Visual Tracking Based on Incremental Tensor Subspace Learning
Most existing subspace analysis-based tracking algorithms utilize a flattened vector to represent a target, resulting in a high dimensional data learning problem. Recently, subspa...
Xi Li, Weiming Hu, Zhongfei Zhang, Xiaoqin Zhang, ...
IPMI
2005
Springer
14 years 8 months ago
Fiber Tracking in q-Ball Fields Using Regularized Particle Trajectories
Abstract. Most of the approaches dedicated to fiber tracking from diffusionweighted MR data rely on a tensor model. However, the tensor model can only resolve a single fiber orient...
Muriel Perrin, Cyril Poupon, Yann Cointepas, Berna...
TSP
2008
115views more  TSP 2008»
13 years 7 months ago
Sinusoidal Modeling and Adaptive Channel Prediction in Mobile OFDM Systems
We propose a wireless fading channel prediction algorithm for a pilot-symbol aided Orthogonal Frequency Division Multiplexing (OFDM) system. Assuming a doubly selective (time and ...
Ian C. Wong, Brian L. Evans