Unsupervised manifold learning using Reciprocal kNN Graphs in image re-ranking and rank aggregation tasks

作者：

Highlights：

• Presentation of an unsupervised manifold learning algorithm using Reciprocal kNN Graphs

• Presentation of the Reciprocal kNN Graph ReRanking for improving the effectiveness of CBIR systems

• Description of how Reciprocal kNN Graph algorithm can be used for rank aggregation tasks

• Discussion about the computational complexity and the convergence of proposed algorithm

• Experimental evaluation considering different datasets, descriptors, and baselines

摘要

•Presentation of an unsupervised manifold learning algorithm using Reciprocal kNN Graphs•Presentation of the Reciprocal kNN Graph ReRanking for improving the effectiveness of CBIR systems•Description of how Reciprocal kNN Graph algorithm can be used for rank aggregation tasks•Discussion about the computational complexity and the convergence of proposed algorithm•Experimental evaluation considering different datasets, descriptors, and baselines

论文关键词：Content-based image retrieval,Re-ranking,Rank aggregation

论文评审过程：Received 24 February 2013, Revised 20 September 2013, Accepted 13 December 2013, Available online 21 December 2013.

论文官网地址：https://doi.org/10.1016/j.imavis.2013.12.009