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» Further results for ARX models in adaptive tracking
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AAAI
2006
15 years 1 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
16 years 12 days 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
16 years 1 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
16 years 21 days 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»
14 years 11 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