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Volumn 2, Issue , 2002, Pages 2195-2201

Variance estimation and ranking of Gaussian mixture distributions in target tracking applications

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; ERRORS; FUNCTIONS; PARAMETER ESTIMATION; PROBABILITY DENSITY FUNCTION; PROBABILITY DISTRIBUTIONS; SENSORS;

EID: 0036990404     PISSN: 01912216     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (21)

References (18)
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    • Chen, C.H.1
  • 5
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    • Computing efforts allocation for ordinal optimization and discrete event simulation
    • May
    • H. C. Chen, C. H. Chen, and E. Yucesan, "Computing Efforts Allocation for Ordinal Optimization and Discrete Event Simulation," IEEE Trans. Automatic Control, 45(5): 960-964, May 2000.
    • (2000) IEEE Trans. Automatic Control , vol.45 , Issue.5 , pp. 960-964
    • Chen, H.C.1    Chen, C.H.2    Yucesan, E.3
  • 6
    • 0022027151 scopus 로고
    • Detection thresholds for tracking in clutter - A connection between estimation and signal processing
    • Mar.
    • T. E. Fortmann, Y. Bar-Shalom, M. Scheffe, and S. Gelfand, "Detection Thresholds for Tracking in Clutter - A Connection Between Estimation and Signal Processing," IEEE Trans. Automatic Control, 30(3): 221-229, Mar. 1985.
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  • 7
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    • Alternatives to Monte-Carlo simulation evaluations of two multi-sensor fusion algorithms
    • Jan.
    • C. W. Frei and L. Y. Pao, "Alternatives to Monte-Carlo Simulation Evaluations of Two Multi-sensor Fusion Algorithms," Automatica, 34 (1): 103-110, Jan. 1998.
    • (1998) Automatica , vol.34 , Issue.1 , pp. 103-110
    • Frei, C.W.1    Pao, L.Y.2
  • 8
    • 0000605519 scopus 로고
    • On selecting a subset containing the population with the smallest variance
    • Dec.
    • S. S. Gupta and M. Sobel, "On Selecting a Subset Containing the Population with the Smallest Variance," Biometrika, 49 (3/4): 495-507, Dec. 1962.
    • (1962) Biometrika , vol.49 , Issue.3-4 , pp. 495-507
    • Gupta, S.S.1    Sobel, M.2
  • 12
    • 0028516569 scopus 로고
    • Centralized multi-sensor fusion algorithms for tracking applications
    • Oct.
    • L. Y. Pao, "Centralized Multi-sensor Fusion Algorithms for Tracking Applications," Control Eng. Practice, 2(5): 875-887, Oct. 1994.
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    • Pao, L.Y.1
  • 13
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    • Optimal order of processing sensor information in sequential multi-sensor fusion algorithms
    • Aug.
    • L. Y. Pao and L. Trailović, "Optimal Order of Processing Sensor Information in Sequential Multi-sensor Fusion Algorithms," IEEE Trans. Automatic Control, 45(8): 1532-1536, Aug. 2000.
    • (2000) IEEE Trans. Automatic Control , vol.45 , Issue.8 , pp. 1532-1536
    • Pao, L.Y.1    Trailović, L.2
  • 14
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  • 16
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    • Computing budget allocation for optimization of sensor processing order in sequential multi-sensor fusion algorithms
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    • L. Trailović and L. Y. Pao "Computing Budget Allocation for Optimization of Sensor Processing Order in Sequential Multi-sensor Fusion Algorithms," Proc. American Control Conf., pp. 1841-1847, June 2001.
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    • Trailović, L.1    Pao, L.Y.2
  • 17
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    • Ranking and optimization of target tracking algorithms
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    • (2002)
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  • 18
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    • Vlassis, N.1    Likas, A.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.