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Volumn , Issue , 2008, Pages 3272-3279

A spatial-temporal imputation technique for classification with missing data in a wireless sensor network

Author keywords

[No Author keywords available]

Indexed keywords

DATA CLUSTERS; ESTIMATION ALGORITHM; EXPECTATION MAXIMIZATION; FUZZY ART; IMPUTATION TECHNIQUES; MISSING DATA; MISSING INPUTS; MISSING OBSERVATIONS; MOVING AVERAGES; NOVEL METHODS; REAL SENSOR DATA; SPATIAL TEMPORALS;

EID: 69749084239     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IROS.2008.4650774     Document Type: Conference Paper
Times cited : (60)

References (14)
  • 1
    • 69749103324 scopus 로고    scopus 로고
    • http://www.xbow.com/.
  • 2
    • 69749100033 scopus 로고    scopus 로고
    • http://www.cs.berkeley.edu/ jwhui/research/deluge/.
  • 3
    • 0026408256 scopus 로고
    • Fuzzy ART: Fast stable learning and categorization of analog patterns by an adaptive resonance system
    • G. Carpenter and S. Grossberg. Fuzzy ART: Fast stable learning and categorization of analog patterns by an adaptive resonance system. Neural Networks, 4:759-771, 1991.
    • (1991) Neural Networks , vol.4 , pp. 759-771
    • Carpenter, G.1    Grossberg, S.2
  • 8
    • 24744454362 scopus 로고    scopus 로고
    • Tracking of unusual events in wireless sensor networks based on artificial neural-networks algorithms
    • A. Kulakov and D. Davcev. Tracking of unusual events in wireless sensor networks based on artificial neural-networks algorithms. In Information Technology: Coding and Computing (ITCC), volume 2, pages 534-539, 2005.
    • (2005) Information Technology: Coding and Computing (ITCC) , vol.2 , pp. 534-539
    • Kulakov, A.1    Davcev, D.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.