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Volumn , Issue , 2013, Pages 669-675

Crowdsourcing soft data for improved urban situation assessment

Author keywords

crowdsourcing; fusion; tracking; trust; uncertainty

Indexed keywords

BAYESIAN INFERENCE; CROWDSOURCING; DATA ASSOCIATION; HUMAN OBSERVERS; PARTICLE FILTERING; SITUATION ASSESSMENT; TRUST; UNCERTAINTY;

EID: 84890849767     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (4)

References (22)
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    • Kamel Boulos, M.1    Resch, B.2    Crowley, D.3    Breslin, J.4    Sohn, G.5    Burtner, R.6    Pike, W.7    Jezierski, E.8    Chuang, K.-Y.9
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    • Crowdsourcing and the crisis-affected community
    • R. Munro, "Crowdsourcing and the crisis-affected community," Information Retrieval, vol. 16, no. 2, pp. 210-266, 2013. Available: http://dx.doi.org/10.1007/s10791-012-9203-2
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    • N. R. Ahmed, E. M. Sample, and M. Campbell, "Bayesian Multicategorical Soft Data Fusion for Human #x2013;Robot Collaboration," Robotics, IEEE Transactions on, vol. 29, no. 1, pp. 189-206, 2013.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.