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Spectrum Gaussian Processes Based On Tunable Basis Functions
Spectral approximation and variational inducing learning for the Gaussian process are two popular methods to reduce computational complexity.
Identifying the module structure of swarms using a new framework of network-based time series clustering
In summary, the proposed framework is a flexible and scalable time series clustering method that can solve various time series clustering problems especially the trajectory clustering of the UAV swarm and has great potential for general time series analysis.
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