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Volumn 92, Issue 9, 2012, Pages 2126-2136

Advanced support vector machines for 802.11 indoor location

Author keywords

Autocorrelation kernel; Complex support vector machines; Fingerprinting; IEEE 802.11; Indoor location; Support vector machines

Indexed keywords

COMPLEX SUPPORT; FINGERPRINTING; IEEE 802.11S; INDOOR LOCATIONS; SUPPORT VECTOR MACHINE (SVM);

EID: 84859518294     PISSN: 01651684     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.sigpro.2012.01.026     Document Type: Article
Times cited : (54)

References (29)
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    • C. Nerguizian, C. Despins, and S. Affes Geolocation in mines with an impulse response fingerprinting technique and neural networks IEEE Transactions on Wireless Communications 5 2006 603 611
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  • 23
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    • Statistical learning theory for location fingerprinting in wireless LANs
    • M. Brunato, and R. Battiti Statistical learning theory for location fingerprinting in wireless LANs Computer Networks 47 2005 825 845
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    • Brunato, M.1    Battiti, R.2
  • 25
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    • Spectrally adapted Mercer kernels for support vector signal interpolation
    • Barcelona (Spain)
    • C. Figuera, J.L. Rojo-Álvarez, M. Martínez-Ramón, A. Guerrero-Curieses, A.J. Caamaño, Spectrally adapted Mercer kernels for support vector signal interpolation, in: 19th European Signal Processing Conference (EUSIPCO 2011), Barcelona (Spain), 2011.
    • (2011) 19th European Signal Processing Conference (EUSIPCO 2011)
    • C. Figuera1
  • 27
    • 4944228528 scopus 로고    scopus 로고
    • A Practical Guide to Support Vector Classication
    • Department of Computer Science and Information Engineering, National Taiwan University, Taipei (Taiwan)
    • C.-W. Hsu, C.-C. Chang, C.-J. Lin, A Practical Guide to Support Vector Classication, Technical Report, Department of Computer Science and Information Engineering, National Taiwan University, Taipei (Taiwan), 2010.
    • (2010) Technical Report
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.