Large-scale graph database indexing based on T-mixture model and ICA

被引:0
|
作者
Luo, Bin [1 ]
Zheng, Aihua [1 ]
Tang, Jin [1 ]
Zhao, Haifeng [1 ]
机构
[1] Anhui Univ, Key Lab Intelligent Comp & Signal Proc, Hefei 230039, Peoples R China
基金
中国国家自然科学基金;
关键词
D O I
10.1109/ICIG.2007.179
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper proposes an indexing scheme based on t-mixture model and ICA, which is more robust than Gaussian mixture modeling when atypical points (or outliers) exist or the set of data has heavy tail. This indexing scheme combines optimized vector quantizer and probabilistic approximate-based indexing, scheme. Experimental results on large-scale graph database show a notable efficiency improvement with optimistic precision.
引用
收藏
页码:815 / +
页数:3
相关论文
共 50 条
  • [21] A parallelized indexing method for large-scale case-based reasoning
    Chen, WC
    Tseng, SS
    Chang, LP
    Hong, TP
    Jiang, MF
    EXPERT SYSTEMS WITH APPLICATIONS, 2002, 23 (02) : 95 - 102
  • [22] Large-scale geospatial indexing for image-based retrieval and analysis
    Tobin, KW
    Bhaduri, BL
    Bright, EA
    Cheriyadat, A
    Karnowski, TP
    Palathingal, PJ
    Potok, TE
    Price, JR
    ADVANCES IN VISUAL COMPUTING, PROCEEDINGS, 2005, 3804 : 543 - 552
  • [23] Image indexing and content analysis in children’s picture books using a large-scale database
    Chengwei Huang
    Hao Jiang
    Multimedia Tools and Applications, 2019, 78 : 20679 - 20695
  • [24] Image indexing and content analysis in children's picture books using a large-scale database
    Huang, Chengwei
    Jiang, Hao
    MULTIMEDIA TOOLS AND APPLICATIONS, 2019, 78 (15) : 20679 - 20695
  • [25] A Novel Image Segmentation Approach Based on Truncated Infinite Student's t-mixture Model
    Li, Lu
    Fan, Wentao
    Du, JiXiang
    Wang, Jing
    INTELLIGENT COMPUTING METHODOLOGIES, ICIC 2016, PT III, 2016, 9773 : 271 - 281
  • [26] A Robust Method for Speech Emotion Recognition Based on Infinite Student's t-Mixture Model
    Zhang, Xinran
    Tao, Huawei
    Zha, Cheng
    Xu, Xinzhou
    Zhao, Li
    MATHEMATICAL PROBLEMS IN ENGINEERING, 2015, 2015
  • [27] EGM: Enhanced Graph-based Model for Large-scale Video Advertisement Search
    Yu, Tan
    Liu, Jie
    Yang, Yi
    Li, Yi
    Fei, Hongliang
    Li, Ping
    PROCEEDINGS OF THE 28TH ACM SIGKDD CONFERENCE ON KNOWLEDGE DISCOVERY AND DATA MINING, KDD 2022, 2022, : 4443 - 4451
  • [28] Arbor: Efficient Large-Scale Graph Data Computing Model
    Zhou, Wei
    Li, Bo
    Han, Jizhong
    Xu, Zhiyong
    2013 IEEE 15TH INTERNATIONAL CONFERENCE ON HIGH PERFORMANCE COMPUTING AND COMMUNICATIONS & 2013 IEEE INTERNATIONAL CONFERENCE ON EMBEDDED AND UBIQUITOUS COMPUTING (HPCC_EUC), 2013, : 300 - 307
  • [29] ExPregel: a new computational model for large-scale graph processing
    Sagharichian, M.
    Naderi, H.
    Haghjoo, M.
    CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE, 2015, 27 (17): : 4954 - 4969
  • [30] A Graph Sampling-Based Model for Influence Maximization in Large-Scale Social Networks
    Jaouadi, Myriam
    Ben Romdhane, Lotfi
    IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS, 2024, 11 (01) : 144 - 160