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A new multiple kernel learning (MKL) framework is presented for classification of satellite remotely sensed time series for agricultural analysis. In this MKL framework, a new composite kernel is constructed with a weighted sum of some predefined kernels. The problem of proper estimation of weights is modeled as an optimization problem of maximizing the kernel alignment between composite kernel and...
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