Computer Science ›› 2021, Vol. 48 ›› Issue (2): 148-152.doi: 10.11896/jsjkx.191200104
• Computer Graphics & Multimedia • Previous Articles Next Articles
WANG Xiao-fei1, ZHOU Chao2, LIU Li-gang1
CLC Number:
[1] COX I J,MILLER M L,MINKA T P,et al.The Bayesian image retrieval system,PicHunter:theory,implementation,and psychophysical experiments[J].IEEE Transactions on Image Processing,2002,9(1):20-37. [2] KIRANYAZ S,GABBOUJ M.Hierarchical CellularTree:AnEfficient Indexing Scheme for Content-Based Retrieval on Multimedia Databases[J].IEEE Transactions on Multimedia,2007,9(1):102-119. [3] BABENKO A,LEMPITSKY V.Aggregating Deep Convolutional Features for Image Retrieval[J].arXiv:1510.07493v1,2015. [4] BABENKO A,SLESAREV A,CHIGORIN A,et al.Neuralcodes for image retrieval[C]//European Conference on Computer Vision.Cham:Springer,2014:584-599. [5] JEGOU H,DOUZE M,SCHMID C,et al.Aggregating local descriptors into a compact image representation[C]//Computer Vision and Pattern Recognition (CVPR),2010 IEEE Conference on.IEEE,2010. [6] PERRONNIN F,LIU Y,JORGE S,et al.Large-scale image retrieval with compressed Fisher vectors[C]//CVPR.IEEE,2010. [7] HERVÉ J,ANDREW Z.Triangulation Embedding and Democratic Aggregation for Image Search[C]//In Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition (CVPR'14).IEEE Computer Society,Washington,DC,USA,3310-3317. [8] SYED S H,MIROSLAW B.Improving Large-Scale Image Retrieval Through Robust Aggregation of Local Descriptors[J].IEEE Transactions on Pattern Analysis & Machine Intelligence,2017,39(9):1783-1796. [9] DO T T,TAN D K L,PHAM T T,et al.Simultaneous Feature Aggregating and Hashing for Large-Scale Image Search[C]//2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).IEEE,2017. [10] BENTLEY J L.Multidimensional binary search trees used for associative searching[J].Com. of ACM,1975,18(9):509-517. [11] FINKEL R A,BENTLEY J L.Quad trees:a data structure for retrieval on composite keys[J].Acta Inf.1974,4(1):1-9. [12] LEE D T,WONG C K.Worst-case analysis for region and partial region searches in multidimensional binary search trees and balanced quad trees[J].Acta Inf.1977,9(1):23-29. [13] MALKOV Y,PONOMARENKO A,LOGVINOVA,et al.Ap-proximate nearest neighbor algorithm based on navigable small world graphs[J].Information Systems,2014,45:61-68. [14] MALKOV Y A,YASHUNIN D A.Efficient and robust approximate nearest neighbor search using hierarchical navigable small world graphs[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2016,PP(99). [15] MATTHIJS D,ALEXANDRE S,HERVE J.Link and Code:Fast Indexing with Graphs and Compact Regression Codes[C]//2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).IEEE,2018. [16] MARTIN A,BERNHARDSSON E,FAITHFULL A.ANN-Benchmarks:A Benchmarking Tool for Approximate Nearest Neighbor Algorithms[C]//International Conference on Simila-rity Search and Applications.2017. [17] MACQUEEN J.Some Methods for Classification and Analysis of Multi Variate Observations[C]//Proc.of Berkeley Sympo-sium on Mathematical Statistics & Probability.1965. [18] LI Y,CHUNG S M.Parallel bisecting k-means with prediction clusteringalgorithm[J].Journal of Supercomputing,2007,39(1):19-37. [19] MCCALLUM A,NIGAM K,UNGAR L H.Efficient clustering of high-dimensional data sets with application to reference ma-tching[C]//Proceedings of the Sixth International Conference on Knowledge Discovery and Data Mining.DBLP,2000. [20] ARTHUR D,VASSILVITSKII S.k-means++:the advantages of careful seeding[C]//Eighteenth Acm-Siam Symposium on Discrete Algorithms.Society for Industrial and Applied Mathematics.2007:1027-1035. [21] SIMONYAN K,ZISSERMAN A.Very deep convolutional networks for large-scale image recognition[J].arXiv:1409.1556,2014. [22] JIA Y,SHELHAMER E,DONAHUE J,et al.Caffe:Convolutional architecture for fast feature embedding[C]//Proceedings of the 22nd ACM International Conference on Multimedia.ACM,2014:675-678. |
[1] | CHAI Hui-min, ZHANG Yong, FANG Min. Aerial Target Grouping Method Based on Feature Similarity Clustering [J]. Computer Science, 2022, 49(9): 70-75. |
[2] | LU Chen-yang, DENG Su, MA Wu-bin, WU Ya-hui, ZHOU Hao-hao. Federated Learning Based on Stratified Sampling Optimization for Heterogeneous Clients [J]. Computer Science, 2022, 49(9): 183-193. |
[3] | ZHU Cheng-zhang, HUANG Jia-er, XIAO Ya-long, WANG Han, ZOU Bei-ji. Deep Hash Retrieval Algorithm for Medical Images Based on Attention Mechanism [J]. Computer Science, 2022, 49(8): 113-119. |
[4] | YU Shu-hao, ZHOU Hui, YE Chun-yang, WANG Tai-zheng. SDFA:Study on Ship Trajectory Clustering Method Based on Multi-feature Fusion [J]. Computer Science, 2022, 49(6A): 256-260. |
[5] | MAO Sen-lin, XIA Zhen, GENG Xin-yu, CHEN Jian-hui, JIANG Hong-xia. FCM Algorithm Based on Density Sensitive Distance and Fuzzy Partition [J]. Computer Science, 2022, 49(6A): 285-290. |
[6] | CHEN Jing-nian. Acceleration of SVM for Multi-class Classification [J]. Computer Science, 2022, 49(6A): 297-300. |
[7] | CHEN Jia-zhou, ZHAO Yi-bo, XU Yang-hui, MA Ji, JIN Ling-feng, QIN Xu-jia. Small Object Detection in 3D Urban Scenes [J]. Computer Science, 2022, 49(6): 238-244. |
[8] | Ran WANG, Jiang-tian NIE, Yang ZHANG, Kun ZHU. Clustering-based Demand Response for Intelligent Energy Management in 6G-enabled Smart Grids [J]. Computer Science, 2022, 49(6): 44-54. |
[9] | XING Yun-bing, LONG Guang-yu, HU Chun-yu, HU Li-sha. Human Activity Recognition Method Based on Class Increment SVM [J]. Computer Science, 2022, 49(5): 78-83. |
[10] | ZHU Zhe-qing, GENG Hai-jun, QIAN Yu-hua. Line-Segment Clustering Algorithm for Chemical Structure [J]. Computer Science, 2022, 49(5): 113-119. |
[11] | ZHANG Yu-jiao, HUANG Rui, ZHANG Fu-quan, SUI Dong, ZHANG Hu. Study on Affinity Propagation Clustering Algorithm Based on Bacterial Flora Optimization [J]. Computer Science, 2022, 49(5): 165-169. |
[12] | ZUO Yuan-lin, GONG Yue-jiao, CHEN Wei-neng. Budget-aware Influence Maximization in Social Networks [J]. Computer Science, 2022, 49(4): 100-109. |
[13] | HAN Jie, CHEN Jun-fen, LI Yan, ZHAN Ze-cong. Self-supervised Deep Clustering Algorithm Based on Self-attention [J]. Computer Science, 2022, 49(3): 134-143. |
[14] | YANG Xu-hua, WANG Lei, YE Lei, ZHANG Duan, ZHOU Yan-bo, LONG Hai-xia. Complex Network Community Detection Algorithm Based on Node Similarity and Network Embedding [J]. Computer Science, 2022, 49(3): 121-128. |
[15] | PU Shi, ZHAO Wei-dong. Community Detection Algorithm for Dynamic Academic Network [J]. Computer Science, 2022, 49(1): 89-94. |
|