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Volumn , Issue , 2009, Pages 1829-1832

An information geometric approach to supervised dimensionality reduction

Author keywords

Classification; Dimensionality reduction; Information geometry; Statistical manifold

Indexed keywords

CLASS INFORMATION; CLASSIFICATION; CLASSIFICATION ERRORS; CLASSIFICATION TASKS; CURSE OF DIMENSIONALITY; DATA CLASS; DIMENSIONALITY REDUCTION; EXISTING METHOD; GAUSSIANITY; GEOMETRIC APPROACHES; HIGH DIMENSIONAL DATA; INFORMATION GEOMETRY; PERFORMANCE BOUNDS; STATISTICAL MANIFOLD;

EID: 70349192857     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2009.4959962     Document Type: Conference Paper
Times cited : (4)

References (13)
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    • Feb
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    • (2006) IEEE Transactions on Pattern Analalysis and Machine Intelligence , vol.28 , Issue.2 , pp. 223-235
    • Hsieh, P.F.1    Wang, D.S.2    Hsu, C.W.3
  • 8
    • 0003596421 scopus 로고    scopus 로고
    • Geometrical Foundations of Asymptotic Inference
    • John Wiley and Sons, NY, USA
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    • (1997) Wiley Series in Probability and Statistics
    • Kass, R.1    Vos, P.2
  • 10
    • 63649153695 scopus 로고    scopus 로고
    • An information geometric framework for dimensionality reduction,
    • Tech. Rep, University of Michigan, arXiv:0809.4866
    • K. M. Carter, R. Raich, and A. O. Hero, "An information geometric framework for dimensionality reduction," Tech. Rep., University of Michigan, 2008, arXiv:0809.4866.
    • (2008)
    • Carter, K.M.1    Raich, R.2    Hero, A.O.3
  • 11
    • 70349192117 scopus 로고    scopus 로고
    • UCI Machine Learning Repository: Statlog (Landsat Satellite) Data Set, available at http://archive.ics.uci.edu/ml/datasets/ Statlog+(Landsat+Satellite).
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  • 12
    • 34249039232 scopus 로고    scopus 로고
    • Graphical tools for quadratic discriminant analysis
    • May
    • I. Pardoe, X. Yin, and R. D. Cook, "Graphical tools for quadratic discriminant analysis," Technometrics, vol. 49, no. 2, May 2007.
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    • Pardoe, I.1    Yin, X.2    Cook, R.D.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.