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Volumn 2, Issue , 2006, Pages 555-564

Reducing the computational cost of Bayesian indoor positioning systems

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL COMPLEXITY; INFORMATION ANALYSIS; MATHEMATICAL MODELS; MONTE CARLO METHODS;

EID: 44049094957     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/SAHCN.2006.288512     Document Type: Conference Paper
Times cited : (7)

References (25)
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    • E. Elnahrawy, J.-A. Francisco, and R. P. Martin, "Indoor Localization using Angle of Arrival and Received Signal Strength in 802.11 Networks," Department of Computer Science, Rutgers, The State University of New Jersey, Piscataway, New Jersey, Tech. Rep. DCS-TR-604, July 2006.
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    • Department of Computer Science, University of Toronto, Toronto, Ontario, Canada, Tech. Rep. CRG-TR-93-1, September
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    • Neal, R.M.1
  • 20
    • 1642370803 scopus 로고    scopus 로고
    • Slice Sampling (with discussion)
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.