Document Classification via Nonlinear Metric Learning

Abstract

Learning a proper distance metric is an important problem in document classification, because the similarities of samples in many problems are usually measured by distance metric. In this paper, we address the nonlinear metric leaning problem with applying in the document classification. First, we propose a new representation about nonlinear metric by using… (More)
DOI: 10.1007/s11063-017-9654-y

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Cite this paper

@article{Li2017DocumentCV, title={Document Classification via Nonlinear Metric Learning}, author={Xin Li and Yanqin Bai and Siyun Zhou and Ying Li}, journal={Neural Processing Letters}, year={2017}, pages={1-11} }