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Volumn , Issue , 2013, Pages

Indoor localization in wireless networks based on a two-modes Gaussian mixture model

Author keywords

Gaussian mixture model; Indoor localization; Maximum likelihood; Positioning; RSSI; Wireless networks

Indexed keywords

GAUSSIAN MIXTURE MODEL; INDOOR LOCALIZATION; LOCALIZATION ACCURACY; MAXIMUM LIKELIHOOD ESTIMATOR; OUTLIER MEASUREMENTS; POSITIONING; RSSI; SIGNAL ATTENUATION;

EID: 84893302907     PISSN: 15502252     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/VTCFall.2013.6692240     Document Type: Conference Paper
Times cited : (12)

References (13)
  • 1
    • 84893306919 scopus 로고    scopus 로고
    • A mixture approach to novelty detection using training data with outliers
    • London, UK
    • Lauer, M., A Mixture Approach to Novelty Detection Using Training Data with Outliers, in 12th European Conference on Machine Learning (EMCL '01), London, UK, 2001.
    • (2001) 12th European Conference on Machine Learning (EMCL '01)
    • Lauer, M.1
  • 12
    • 84863414536 scopus 로고    scopus 로고
    • Wigem: A learning-based approach for indoor localization
    • Goswami, A., Ortiz, L. E., and Das, S. R., WiGEM: A learning-based approach for indoor localization, in ACM CoNEXT, 2011.
    • (2011) ACM CoNEXT
    • Goswami, A.1    Ortiz, L.E.2    Das, S.R.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.