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PREDICTION OF MULTI-AGENT ADVERSARIAL MOVEMENTS THROUGH SIGNATURE-FORMATIONS USING RADON-CUMULATIVE DISTRIBUTION TRANSFORM AND CANONICAL CORRELATION ANALYSIS
PREDICTION OF MULTI-AGENT ADVERSARIAL MOVEMENTS THROUGH SIGNATURE-FORMATIONS USING RADON-CUMULATIVE DISTRIBUTION TRANSFORM AND CANONICAL CORRELATION ANALYSIS
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机译:通过RA累积分布变换和典范相关分析预测通过签名形成的多代理逆向运动
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摘要
Described is a system for predicting multi-agent movements. A Radon Cumulative Distribution Transform (Radon-CDT) is applied to pairs of signature-formations representing agent movements. Canonical correlation analysis (CCA) components are identified for the pairs of signature-formations. Then, a relationship between the pairs of signature formations is learned using the CCA components. A counter signature-formation for a new dataset is predicted using the learned relationship and a new signature-formation. Control parameters of a device can be adjusted based on the predicted counter signature-formation.
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