Abstract: Tracking visual objects from a single initial exemplar in the testing phase has been broadly cast as a one-/few-shot problem, i.e., one-shot learning for initial adaptation and few-shot ...
Abstract: This paper presents a new method of predicting the values of time series using recursive update Gaussian Kernel Function Networks. First, the input structure of time series prediction model ...
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