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Volumn , Issue , 2008, Pages 292-297

Time series prediction using principal feature analysis

Author keywords

[No Author keywords available]

Indexed keywords

ELECTRONICS INDUSTRY; FORECASTING; INDUSTRIAL ELECTRONICS; MEAN SQUARE ERROR; PRINCIPAL COMPONENT ANALYSIS; STRAIN ENERGY;

EID: 51949094362     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIEA.2008.4582527     Document Type: Conference Paper
Times cited : (4)

References (9)
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    • Feature Selection Using Principal Feature Analysis
    • Also available online on:, http:zSzzSzwww.ifp.uiuc.eduzSz~qitianzSze_paperzSznips01zSznips01.pdf/cohen02feature.pdf
    • Ira Cohen, Qi Tian, Xiang Sean Zhou, and Thomas S. Huang, "Feature Selection Using Principal Feature Analysis". Proceedings of the fifteenth International Conference on Information Processing: ICIP '02, 2002. (Also available online on: http://citeseer.ist.psu.edu/cache/papers/cs/22564/http: zSzzSzwww.ifp.uiuc.eduzSz~qitianzSze_paperzSznips01zSznips01.pdf/cohen02feature. pdf)
    • (2002) Proceedings of the fifteenth International Conference on Information Processing: ICIP '02
    • Cohen, I.1    Tian, Q.2    Sean Zhou, X.3    Huang, T.S.4
  • 3
    • 67649388854 scopus 로고    scopus 로고
    • Motion motif extraction from high-dimensional motion information
    • Tokushima, Japan, pp, February 2-3, 2006, Also available online on
    • Yutaka Araki, Daisaku Arita, Rin-ichiro Taniguch, "Motion motif extraction from high-dimensional motion information" Proceedings of The Twelfth Korea-Japan Joint Workshop on Frontiers of Computer Vision, FCV2006 Tokushima, Japan, pp. 92-98 (February 2-3, 2006). (Also available online on: https://qir.kyushu-u.ac.jp/dspace/bitstream/2324/5864/1/ArakiFCV06. pdf )
    • Proceedings of The Twelfth Korea-Japan Joint Workshop on Frontiers of Computer Vision , vol.FCV2006 , pp. 92-98
    • Araki, Y.1    Arita, D.2    Taniguch, R.-I.3
  • 4
    • 0001218972 scopus 로고
    • Clustering and the Continuous k-Means Algorithm
    • also available online
    • Vance Faber, "Clustering and the Continuous k-Means Algorithm" Los Alamos Science no. 22 pp. 138-144,. (1994). (also available online: http://www.fas.org/sgp/othergov/doe/lanl/pubs/00412967.pdf )
    • (1994) Los Alamos Science , Issue.22 , pp. 138-144
    • Faber, V.1
  • 5
    • 51949100102 scopus 로고    scopus 로고
    • http://www.csiberkeley.com/Tech_Info/d.pdf
  • 6
    • 51949097312 scopus 로고    scopus 로고
    • http://www.mathworks.com/products/matlab/description1.html
  • 7
    • 51949098960 scopus 로고    scopus 로고
    • &http://www.mathworks.com/cgibin/texis/webinator/search/?db=MSS&prox=page&rorder=750&rprox=750&rdfreq=500&rwfreq=500&rlead=250&sufs=0&order=r&is_summary_on=1&ResultCount=10&query=kmeans
    • http://www.mathworks.com/access/helpdesk/help/toolbox/stats/index.html?/ access/helpdesk/help/toolbox/stats/kmeans.html&http://www.mathworks.com/ cgibin/texis/webinator/search/?db=MSS&prox=page&rorder=750&rprox =750&rdfreq=500&rwfreq=500&rlead=250&sufs=0&order= r&is_summary_on=1&ResultCount=10&query=kmeans


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.