A Review on Kernel Learning Method of Moving Target Tracking

The kernel method maps the original spatial data to a high-dimensional Hilbert space by nonlinear mapping and hides the mapping in the linear learner. The kernel function is used to replace the complex inner product operation in high-dimensional space, which can effectively avoid the ‘cu...

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Autor principal: Lou Jiaxin, Li Yuankai, Wang Yuan, Xu Yanke
Formato: article
Lenguaje:ZH
Publicado: Editorial Office of Aero Weaponry 2021
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Acceso en línea:https://doaj.org/article/5368972fe3b84128a900f037435fc3b7
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