Manifold Preserving: An Intrinsic Approach for Semisupervised Distance Metric Learning.

Abstract

In this paper, we address the semisupervised distance metric learning problem and its applications in classification and image retrieval. First, we formulate a semisupervised distance metric learning model by considering the metric information of inner classes and interclasses. In this model, an adaptive parameter is designed to balance the inner metrics… (More)
DOI: 10.1109/TNNLS.2017.2691005

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Cite this paper

@article{Ying2017ManifoldPA, title={Manifold Preserving: An Intrinsic Approach for Semisupervised Distance Metric Learning.}, author={Shihui Ying and Zhijie Wen and Jun Shi and Yaxin Peng and Jigen Peng and Hong Qiao}, journal={IEEE transactions on neural networks and learning systems}, year={2017} }