메뉴 건너뛰기




Volumn 1, Issue , 2006, Pages 988-993

A manifold regularization approach to calibration reduction for sensor-network based tracking

Author keywords

[No Author keywords available]

Indexed keywords

CALIBRATION; COMPUTATION THEORY; COMPUTER NETWORKS; SENSORS; TRACKING (POSITION); WIRELESS TELECOMMUNICATION SYSTEMS;

EID: 33750730938     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (34)

References (20)
  • 3
    • 0042378381 scopus 로고    scopus 로고
    • Laplacian eigenmaps for dimensionality reduction and data representation
    • Belkin, M., and Niyogi, P. 2003. Laplacian eigenmaps for dimensionality reduction and data representation. Neural Computation 15(6): 1373-1396.
    • (2003) Neural Computation , vol.15 , Issue.6 , pp. 1373-1396
    • Belkin, M.1    Niyogi, P.2
  • 7
    • 27144489164 scopus 로고    scopus 로고
    • A tutorial on support vector machines for pattern recognition
    • Burges, C. 1998. A tutorial on support vector machines for pattern recognition. Data Mining and Knowledge Discovery 2(2):955-974.
    • (1998) Data Mining and Knowledge Discovery , vol.2 , Issue.2 , pp. 955-974
    • Burges, C.1
  • 15
    • 33746371214 scopus 로고    scopus 로고
    • A kernel-based learning approach to ad hoc sensor network localization
    • Nguyen, X.; Jordan, M. I.; and Sinopoli, B. 2005. A kernel-based learning approach to ad hoc sensor network localization. ACM Transactions on Sensor Networks 1(1): 134-152.
    • (2005) ACM Transactions on Sensor Networks , vol.1 , Issue.1 , pp. 134-152
    • Nguyen, X.1    Jordan, M.I.2    Sinopoli, B.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.