Sparse similarity metric learning for kinship verification

Abstract

Metric learning technique learns a linear transformation of the given training data which can significantly promote the performance of a prediction task, such as kinship verification. However, many of the existing metric learning methods do not explicitly regularize for sparsity or low-rank, which in practice usually results in high-rank solutions that are… (More)
DOI: 10.1109/VCIP.2016.7805462

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