Kernel-Based Generalized Median Computation for Consensus Learning. (arXiv:2209.10208v1 [cs.CV])

Computing a consensus object from a set of given objects is a core problem in
machine learning and pattern recognition. One popular approach is to formulate
it as an optimization problem using the generalized median. Previous methods
like the Prototype and Distance-Preserving Embedding methods transform objects
into a vector space, solve the generalized median problem in this space, and
inversely transform back into the original space. Both of these methods have
been successfully applied to a wide range of object …

arxiv computation kernel