[1] Shi J R,et al.Metric learning for high-dimensional tensor Data[J].Chinese Journal of Electronics,2011,20(3):495-498.
[2] 巩敦卫,王更星,孙晓燕.高维多目标优化问题融入决策者偏好的集合进化优化方法[J].电子学报,2014,42(5):933-939. GONG Dun-wei,WANG Geng-xing,SUN Xiao-yan.Set-based evolutionary optimization algorithms integrating decision-maker's preferences for many-objective optimization problems[J].Acta Electronica Sinica,2014,42(5):933-939.(in Chinese)
[3] 赵永威,郭志刚,李弼程,等.基于随机化视觉词典组和上下文语义信息的目标检索方法[J].电子学报,2012,40(12):2472-2480. ZHAO Yong-wei,GUO Zhi-gang,LI Bi-cheng,et al.Object retrieval method based on randomized visual dictionaries and contextual semantic information[J].Acta Electronica Sinica,2012,40(12):2472-2480.(in Chinese)
[4] Guttman A.R-trees:A Dynamic Index Structure for Spatial Searching[M].USA:ACM Press,1984.
[5] Bentley J L.K-d trees for semidynamic point sets[A].Proceedings of the Sixth Annual Symposium on Computational Geometry[C].USA:ACM Press,1990.187-197.
[6] Gionis A,Indyk P,Motwani R.Similarity search in high dimensions via hashing[A].Proceedings of the 25th International Conference on Very Large Data Bases[C].USA:VLDB Press,1999,Vol 99.518-529.
[7] Indyk P,Motwani R.Approximate nearest neighbors:towards removing the curse of dimensionality[A].Proceedings of the Thirtieth Annual ACM Symposium on Theory of Computing[C].USA:ACM Press,1998.604-613.
[8] Qian Jiangbo,Zhu Qiang,Chen Huahui.Multi-granularity locality-sensitive bloom filter[J].IEEE Transactions on Computers,2015,64(12):3500-3514.
[9] Lv Q,Josephson W,Wang Z,et al.Multi-probe LSH:efficient indexing for high-dimensional similarity search[A].Proceedings of the 33rd International Conference on Very Large Data Bases[C].USA:VLDB Endowment Press,2007.950-961.
[10] 龙柏,孙广中,熊焰,陈国良.一种基于多核机群架构的混合索引结构[J].电子学报,2011,39(2):275-279. LONG Bai,SUN Guang-zhong,XIONG Yan,CHEN Guo-liang.A hybrid index structure based on multi-core cluster[J].Acta Electronica Sinica,2011,39(2):275-279.(in Chinese)
[11] Gan Junhao,et al.Locality-sensitive hashing scheme based on dynamic collision counting[A].Proceedings of the ACM SIGMOD International Conference on Management of Data[C].USA:ACM Press,2012.1-12.
[12] Hadoop:Open-source Implementation of mapreduce[OL].http://lucene.apache.org/hadoop/.2012.
[13] Koga H,Oguri M,Watanabe T.MIXED-LSH:Reduction of remote accesses in distributed locality-sensitive hashing based on L1-distance[A].Proceedings of IEEE 26th International Conference on Advanced Information Networking and Applications (AINA)[C].USA:IEEE Press,2012.175-182.
[14] Bahmani B,Goel A,Shinde R.Efficient distributed locality sensitive hashing[A].Proceedings of the 21st ACM International Conference on Information and Knowledge Management[C].USA:ACM Press,2012.2174-2178.
[15] Panigrahy R.Entropy based nearest neighbor search in high dimensions[A].Proceedings of the Seventeenth Annual ACM-SIAM Symposium on Discrete Algorithm[C].USA:ACM Press,2006.1186-1195.
[16] Datar M,Immorlica N,Indyk P,et al.Locality-sensitive hashing scheme based on p-stable distributions[A].Proceedings of the Twentieth Annual Symposium on Computational Geometry[C].USA:ACM Press,2004.253-262.
[17] Rajaraman A,Ullman J D.Mining of Massive Datasets[M].England:Cambridge University Press,2011.
[18] LabelMe,the Open Annotation Tool[OL].http://labelme.csail.mit.edu.
[19] Python Version of Matlab Code for Accessing the Tiny Image Dataset[OL].http://horatio.cs.nyu.edu/mit/tiny/data/index.html.
[20] Pan J,Manocha D.Bi-level locality sensitive hashing for k-nearest neighbor computation[A].Proceedings of IEEE 28th International Conference on Data Engineering (ICDE)[C].USA:IEEE Press,2012.378-389.
[21] Stupar A,Michel S,et al.Rankreduce processing k-nearest neighbor queries on top of mapreduce[A].Proceedings of the 8th Workshop on Large-Scale Distributed Systems for Information Retrieval[C].USA:ACM Press,2010.13-18.
[22] Tao Y,Yi K,et al.Efficient and accurate nearest neighbor and closest pair search in high-dimensional space[J].ACM Transactions on Database Systems (TODS),2010,35(3):20.
[23] Zhang C,Li F,Jestes J.Efficient parallel kNN joins for large data in mapreduce[A].Proceedings of the 15th International Conference on Extending Database Technology[C].USA:ACM Press,2012.38-49. |