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Parametric Models for Mutual Kernel Matrix Completion
In view of this limitation, our proposed methods employ the LogDet divergence, which ensures the positive definiteness of the resulting inferred kernel matrix.
Threshold Auto-Tuning Metric Learning
In this study, an efficient technique that can solve the nonlinear equation in $O(Mn^{3})$ has been discovered.
Mutual Kernel Matrix Completion
In this paper, we present a new method, called Mutual Kernel Matrix Completion (MKMC) algorithm, that tackles this problem of mutually inferring the missing entries of multiple kernel matrices by combining the notions of data fusion and kernel matrix completion, applied on biological data sets to be used for classification task.
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