Supervised learning based discrete hashing for image retrieval

作者：

Highlights：

• A weighted similarity matrix minimizing the disparity between the similarities in the original space and the similarities in the hashing space.

• Hashing function obtained by multilayer neural network and optimized by an efficient way.

• Quantization errors between the input feature and the learned compact binary codes reduced by the proposal.

摘要

•A weighted similarity matrix minimizing the disparity between the similarities in the original space and the similarities in the hashing space.•Hashing function obtained by multilayer neural network and optimized by an efficient way.•Quantization errors between the input feature and the learned compact binary codes reduced by the proposal.

论文关键词：Hashing,Supervised learning,Neural network,Optimization

论文评审过程：Received 3 August 2018, Revised 15 January 2019, Accepted 23 March 2019, Available online 23 March 2019, Version of Record 1 April 2019.

论文官网地址：https://doi.org/10.1016/j.patcog.2019.03.022