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COMPUTING ASSOCIATION PROBABILITIES USING MEAN-FIELD APPROXIMATION NETWORKS |
Wang Xiaofan; Song Wenzhong |
Institute of Automation,Southeast University, Nanjing 210096 |
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Abstract The data assciation problem is one of the key problems of multitarget tracking in dense multiple return environments. By constructing a suitable energy function, the average values of a Boltzmann machine (T = 1) are approximately equal to the association probabilities. Then, a new method for computing association probabilities using mean-field approximation network is presented. The simulations show that this method is effective.
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Received: 05 September 1995
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