메뉴 건너뛰기




Volumn , Issue , 2008, Pages

Anomaly detection for sea surveillance

Author keywords

Anomaly detection; Gaussian mixture models; Greedy expectation maximization; Sea surveillance; Unsupervised clustering

Indexed keywords

BLIND SOURCE SEPARATION; COMMUNICATION CHANNELS (INFORMATION THEORY); DATA FUSION; FLOW OF SOLIDS; FUSION REACTIONS; IMAGE SEGMENTATION; INFORMATION FUSION; MAXIMUM PRINCIPLE; OBJECT RECOGNITION; OPTIMIZATION; QUALITY CONTROL; TRELLIS CODES; WATERWAY TRANSPORTATION;

EID: 56749092990     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (129)

References (15)
  • 1
    • 0010555057 scopus 로고
    • U.S. Department of Defense, Data Fusion Subpanel of the Joint Directors of Laboratories, Technical Panel for C3
    • U.S. Department of Defense, Data Fusion Subpanel of the Joint Directors of Laboratories, Technical Panel for C3, "Data fusion lexicon," 1991
    • (1991) Data fusion lexicon
  • 3
    • 33747372879 scopus 로고    scopus 로고
    • J. Edlund, M. Grönkvist, A. Lingvall, E. Sviestins, Rule-based situation assessment for sea surveillance, Proceedings of SPIE 6242 Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2006, Belur V. Dasarathy, Editor, 624203 (Apr. 18, 2006).
    • J. Edlund, M. Grönkvist, A. Lingvall, E. Sviestins, Rule-based situation assessment for sea surveillance, Proceedings of SPIE Vol. 6242 Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2006, Belur V. Dasarathy, Editor, 624203 (Apr. 18, 2006).
  • 6
    • 56749129968 scopus 로고    scopus 로고
    • www.wikipedia.org
  • 9
    • 56749124703 scopus 로고    scopus 로고
    • Masters thesis at the School of Computer Science and Engineering, Royal Institute of Technology, Sweden
    • R. Laxhammar, Artificial Intelligence for Situation Assessment, Masters thesis at the School of Computer Science and Engineering, Royal Institute of Technology, Sweden, 2007.
    • (2007) Artificial Intelligence for Situation Assessment
    • Laxhammar, R.1
  • 10
    • 0036030750 scopus 로고    scopus 로고
    • Automated anomaly detection processor
    • Enabling Technologies, for simulation science VI, July
    • J.B. Kraiman, S.L. Arouh, M.L. Webb, Automated anomaly detection processor, Proceedings of SPIE Vol. 4716, p. 128-137, Enabling Technologies, for simulation science VI , July, 2002.
    • (2002) Proceedings of SPIE , vol.4716 , pp. 128-137
    • Kraiman, J.B.1    Arouh, S.L.2    Webb, M.L.3
  • 11
    • 56749094992 scopus 로고    scopus 로고
    • Rhodes B.J., Bomberger N.A., Seibert M.C., Waxman A.M., Maritime situation monitoring and situation awareness using learning mechanisms, Military Communications Conference 2005, Atlantic City, NY, USA, October 17-20, 2005. (Presented at the workshop on Situation Management (SIMA)).
    • Rhodes B.J., Bomberger N.A., Seibert M.C., Waxman A.M., Maritime situation monitoring and situation awareness using learning mechanisms, Military Communications Conference 2005, Atlantic City, NY, USA, October 17-20, 2005. (Presented at the workshop on Situation Management (SIMA)).
  • 12
    • 50149119940 scopus 로고    scopus 로고
    • Probabilistic Associative Learning of Vessel Motion Patterns at Multiple Scales for Maritime Situation Awareness
    • Quebec, Canada
    • B. J. Rhodes, N. A. Bomberger, M. Zandipour, Probabilistic Associative Learning of Vessel Motion Patterns at Multiple Scales for Maritime Situation Awareness, The 10th International Conference on Information Fusion, Quebec, Canada, 2007.
    • (2007) The 10th International Conference on Information Fusion
    • Rhodes, B.J.1    Bomberger, N.A.2    Zandipour, M.3
  • 15
    • 0037317897 scopus 로고    scopus 로고
    • Efficient Greedy Learning of Gaussian Mixture Models
    • Verbeek J.J., Vlassis N., Kröse B., Efficient Greedy Learning of Gaussian Mixture Models, Neural Computation, 15(2):469-485, 2003.
    • (2003) Neural Computation , vol.15 , Issue.2 , pp. 469-485
    • Verbeek, J.J.1    Vlassis, N.2    Kröse, B.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.