Correntropy: A localized similarity measure

被引：0
|
作者：
Liu, Weifeng [1 ]
Pokharel, P. P. [1 ]
Principe, J. C. [1 ]
机构：
[1] Univ Florida, Dept Elect & Comp Engn, Gainesville, FL 32611 USA
来源：
2006 IEEE INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORK PROCEEDINGS, VOLS 1-10 | 2006年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The measure of similarity normally utilized in statistical signal processing is based on second order moments. In this paper, we reveal the probabilistic meaning of correntropy as a new localized similarity measure based on information theoretic learning (ITL) and kernel methods. As such it has vastly different properties when compared with Mean Square Error (MSE) that can be very useful in nonlinear, non-Gaussian signal processing. Two examples are presented to illustrate the technique.
引用
收藏
页码：4919 / 4924
页数：6
相关论文
共 50 条
  • [1] Correntropy as a novel measure for nonlinearity tests
    Gunduz, Aysegul
    Hegde, Anant
    Principe, Jose C.
    2006 IEEE INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORK PROCEEDINGS, VOLS 1-10, 2006, : 1856 - +
  • [2] Correntropy as a novel measure for nonlinearity tests
    Gunduz, Aysegul
    Principe, Jose C.
    SIGNAL PROCESSING, 2009, 89 (01) : 14 - 23
  • [3] Multiple similarity measure-based maximum correntropy criterion Kalman filter with adaptive kernel width for GPS/INS integration navigation
    Chen, Wangqi
    Li, Zengke
    Chen, Zhaobing
    Sun, Yaowen
    Liu, Yanlong
    MEASUREMENT, 2023, 222
  • [4] Similarity measure for superquadrics
    Chen, LH
    Liu, YT
    Liao, HY
    IEE PROCEEDINGS-VISION IMAGE AND SIGNAL PROCESSING, 1997, 144 (04): : 237 - 243
  • [5] A Boolean measure of similarity
    Anthony, Martin
    Hammer, Peter L.
    DISCRETE APPLIED MATHEMATICS, 2006, 154 (16) : 2242 - 2246
  • [6] MONO-MODAL IMAGE REGISTRATION VIA CORRENTROPY MEASURE
    Ghaffari, A.
    Fatemizadeh, E.
    2013 8TH IRANIAN CONFERENCE ON MACHINE VISION & IMAGE PROCESSING (MVIP 2013), 2013, : 223 - 226
  • [7] FUZZY SIMILARITY AND MEASURE OF SIMILARITY WITH LUKASIEWICZ IMPLICATOR
    Beg, Ismat
    Ashraf, Samina
    NEW MATHEMATICS AND NATURAL COMPUTATION, 2008, 4 (02) : 191 - 206
  • [8] Locally linear embedding based on correntropy measure for visualization and classification
    Daza-Santacoloma, Genaro
    Castellanos-Dominguez, German
    Principe, Jose C.
    NEUROCOMPUTING, 2012, 80 : 19 - 30
  • [9] Some notes on similarity measure and proximity measure
    Fuzzy Sets Syst, 3 (403-412):
  • [10] Some notes on similarity measure and proximity measure
    Fan, JL
    Xie, WX
    FUZZY SETS AND SYSTEMS, 1999, 101 (03) : 403 - 412
12345