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cs.LG2018
Metric Learning via Maximizing the Lipschitz Margin Ratio
Mingzhi Dong, Xiaochen Yang, Yang Wu +1
In this paper, we propose the Lipschitz margin ratio and a new metric learning framework for classification through maximizing the ratio. This framework enables the integration of…
cs.LG2018
Learning Local Metrics and Influential Regions for Classification
Mingzhi Dong, Yujiang Wang, Xiaochen Yang +1
The performance of distance-based classifiers heavily depends on the underlying distance metric, so it is valuable to learn a suitable metric from the data. To address the problem…