Multiresolution using principal component analysis

被引：0
|
作者：
Brennan, V [1 ]
Principe, J [1 ]
机构：
[1] Univ Florida, Dept Elect Engn, Computat NeuroEngn Lab, Gainesville, FL 32611 USA
来源：
2000 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, PROCEEDINGS, VOLS I-VI | 2000年
关键词：
D O I：
暂无
中图分类号：
O42 [声学];
学科分类号：
070206 ; 082403 ;
摘要：
This paper proposes Principal Component Analysis (PCA) to find adaptive bases for multiresolution. An input image is decomposed into components (compressed images) which are uncorrelated and have maximum l(2) energy. With only minor modification, a simple layer linear network using the Generalized Hebbian Algorithm (GHA) is used for multiresolution PCA. The decomposition has been successfully applied to face classification [3]. Good results with biological signals have also been reported [1].
引用
收藏
页码：3474 / 3477
页数：4
相关论文
共 50 条
  • [11] Analysis of EEG using principal component approach
    Padmasai, Y.
    SubbaRao, K.
    Rao, C. Raghavendra
    Jayalakshmi, S. Sita
    2007 14TH IEEE INTERNATIONAL CONFERENCE ON ELECTRONICS, CIRCUITS AND SYSTEMS, VOLS 1-4, 2007, : 134 - +
  • [12] Gait recognition using principal component analysis
    Zhang, Yupu
    Wang, Zhen
    International Journal of Advancements in Computing Technology, 2012, 4 (22) : 600 - 607
  • [13] Principal Component Analysis Using LISREL 8
    Dolan, Conor
    STRUCTURAL EQUATION MODELING-A MULTIDISCIPLINARY JOURNAL, 1996, 3 (04) : 307 - 322
  • [14] Combustion modeling using principal component analysis
    Sutherland, James C.
    Parente, Alessandro
    PROCEEDINGS OF THE COMBUSTION INSTITUTE, 2009, 32 : 1563 - 1570
  • [15] Trajectory Learning Using Principal Component Analysis
    Osman, Asmaa A. E.
    El-Khoribi, Reda A.
    Shoman, Mahmoud E.
    Shalaby, M. A. Wahby
    RECENT ADVANCES IN INFORMATION SYSTEMS AND TECHNOLOGIES, VOL 1, 2017, 569 : 174 - 183
  • [16] Face Recognition Using Principal Component Analysis
    Kaur, Ramandeep
    Himanshi, Er.
    2015 IEEE INTERNATIONAL ADVANCE COMPUTING CONFERENCE (IACC), 2015, : 585 - 589
  • [17] Enhanced coherence using principal component analysis
    Liu, Zhining
    Song, Chengyun
    Cai, Hanpeng
    Yao, Xingmiao
    Hu, Guangmin
    INTERPRETATION-A JOURNAL OF SUBSURFACE CHARACTERIZATION, 2017, 5 (03): : T351 - T359
  • [18] Speaker recognition using principal component analysis
    Ding, PL
    Zhang, LM
    8TH INTERNATIONAL CONFERENCE ON NEURAL INFORMATION PROCESSING, VOLS 1-3, PROCEEDING, 2001, : 1392 - 1397
  • [19] Principal component analysis using QR decomposition
    Alok Sharma
    Kuldip K. Paliwal
    Seiya Imoto
    Satoru Miyano
    International Journal of Machine Learning and Cybernetics, 2013, 4 : 679 - 683
  • [20] Reionization constraints using principal component analysis
    Mitra, Sourav
    Choudhury, T. Roy
    Ferrara, Andrea
    MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY, 2011, 413 (03) : 1569 - 1580
12345