Efficient and Adaptive Kernelization for Nonlinear Max-margin Multi-view Learning

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Abstract:

Existing multi-view learning methods based on kernel function either require the user to select and tune a single predefined kernel or have to compute and store many Gram matrices to perform multiple kernel learning. Apart from the huge consumption of manpower, computation and memory resources, most of these models seek point estimation...More

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