LMKL-Net: A Fast Localized Multiple Kernel Learning Solver via Deep Neural Networks

22 May 2018Ziming Zhang

In this paper we propose solving localized multiple kernel learning (LMKL) using LMKL-Net, a feedforward deep neural network. In contrast to previous works, as a learning principle we propose {\em parameterizing} both the gating function for learning kernel combination weights and the multiclass classifier in LMKL using an attentional network (AN) and a multilayer perceptron (MLP), respectively... (read more)

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