[39] Javier Alvaro Vargas Muñoz, Marcos André Gonçalves, Zanoni Dias, and Ricardo da Silva Torres. Hierarchical clustering-based graphs for large scale approximate nearest neighbor search. Pattern Recognition, 96:106970, 2019.
[40] Liudmila Prokhorenkova and Aleksandr Shekhovtsov. Graph-based nearest neighbor search: From practice to theory. In ICML, pages 7803-7813, 2020.
[41] Jianbin Qin, Wei Wang, Chuan Xiao, and Ying Zhang. Similarity query processing for high-dimensional data. PVLDB, 13(12):3437-3440, 2020.
[42] Jianbin Qin, Wei Wang, Chuan Xiao, Ying Zhang, and Yaoshu Wang. High-dimensional similarity query processing for data science. In SIGKDD, pages 4062-4063, 2021.
[43] Jie Ren, Minjia Zhang, and Dong Li. HM-ANN: efficient billion-point nearest neighbor search on heterogeneous memory. In NeurIPS, 2020.
[44] Eli Schwartz, Leonid Karlinsky, Joseph Shtok, Sivan Harary, Mattias Marder, Abhishek Kumar, Rogerio Feris, Raja Giryes, and Alex Bronstein. Delta-encoder: an effective sample synthesis method for few-shot object recognition. NeurIPS, 31, 2018.
[45] Larissa Capobianco Shimomura, Marcos R Vieira, and Daniel S Kaster. Performance analysis of graph-based methods for exact and approximate similarity search in metric spaces. In International Conference on Similarity Search and Applications, pages 18-32, 2018.
[46] Chanop Silpa-Anan and Richard I. Hartley. Optimised kd-trees for fast image descriptor matching. In CVPR, 2008.
[47] Harsha Vardhan Simhadri, George Williams, Martin Aumüller, Matthijs Douze, Artem Babenko, Dmitry Baranchuk, Qi Chen, Lucas Hosseini, Ravishankar Krishnaswamy, Gopal Srinivasa, Suhas Jayaram Subramanya, and Jingdong Wang. Results of the neurips'21 challenge on billion-scale approximate nearest neighbor search. In NeurIPS, pages 177-189, 2021.
[48] Zhenan Sun and Tieniu Tan. Ordinal measures for iris recognition. TPAMI, 31(12):2211-2226, 2008.
[49] Godfried T Toussaint. The relative neighbourhood graph of a finite planar set. Pattern recognition, 12(4):261-268, 1980.
[50] Nam Vo, Lu Jiang, Chen Sun, Kevin Murphy, Li-Jia Li, Li Fei-Fei, and James Hays. Composing text and image for image retrieval - an empirical odyssey. In CVPR, pages 6439–6448, 2019.
[51] Jianguo Wang, Xiaomeng Yi, Rentong Guo, Hai Jin, Peng Xu, Shengjun Li, Xiangyu Wang, Xiangzhou Guo, Chengming Li, Xiaohai Xu, Kun Yu, Yuxing Yuan, Yinghao Zou, Jiquan Long, Yudong Cai, Zhenxiang Li, Zhifeng Zhang, Yihua Mo, Jun Gu, Ruiyi Jiang, Yi Wei, and Charles Xie. Milvus: A purpose-built vector data management system. In SIGMOD, pages 2614-2627, 2021.
[52] Mengzhao Wang, Xiaoliang Xu, Qiang Yue, and Yuxiang Wang. A comprehensive survey and experimental comparison of graph-based approximate nearest neighbor search. PVLDB, 14(11):1964-1978, 2021.
[53] Zhenhua Wang, Bin Fan, Gang Wang, and Fuchao Wu. Exploring local and overall ordinal information for robust feature description. TPAMI, 38(11):2198-2211, 2015.
[54] Chuangxian Wei, Bin Wu, Sheng Wang, Renjie Lou, Chaoqun Zhan, Feifei Li, and Yanzhe Cai. Analyticdb-v: A hybrid analytical engine towards query fusion for structured and unstructured data. PVLDB, 13(12):3152-3165, 2020.
[55] Suping Xu, Lin Shang, and Furao Shen. Latent semantics encoding for label distribution learning. In IJCAI, pages 3982-3988, 2019.
[56] Xiaoliang Xu, Chang Li, Yuxiang Wang, and Yixing Xia. Multiattribute approximate nearest neighbor search based on navigable small world graph. Concurrency and Computation: Practice and Experience, 32(24), 2020.