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Volumn 5546, Issue , 2004, Pages 179-189

Focus-of-attention strategies for finding discrete objects in multispectral imagery

Author keywords

Image processing; Machine learning; Multispectral imagery; Object detection; Target recognition

Indexed keywords

ALARM SYSTEMS; ALGORITHMS; IDENTIFICATION (CONTROL SYSTEMS); LEARNING SYSTEMS; PROBLEM SOLVING; RADAR TARGET RECOGNITION;

EID: 15844387123     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.555857     Document Type: Conference Paper
Times cited : (16)

References (10)
  • 2
    • 0030649484 scopus 로고    scopus 로고
    • Solving the multiple instance problem with axis-parallel rectangles
    • T. G. Dietterich, R. H. Lathrop, and T. Lozano-Perez, "Solving the multiple instance problem with axis-parallel rectangles," Artificial Intelligence 89(1-2), pp. 31-71, 1997.
    • (1997) Artificial Intelligence , vol.89 , Issue.1-2 , pp. 31-71
    • Dietterich, T.G.1    Lathrop, R.H.2    Lozano-Perez, T.3
  • 3
    • 0002288190 scopus 로고    scopus 로고
    • Multiple-instance learning for natural scene classification
    • Morgan Kaufmann, San Francisco, CA
    • O. Maron and A. L. Ratan, "Multiple-instance learning for natural scene classification," in Proc. 15th International Conf. on Machine Learning, pp. 341-349, Morgan Kaufmann, San Francisco, CA, 1998.
    • (1998) Proc. 15th International Conf. on Machine Learning , pp. 341-349
    • Maron, O.1    Ratan, A.L.2
  • 4
    • 0012349465 scopus 로고    scopus 로고
    • EM-DD: An improved multiple-instance learning technique
    • Q. Zhang and S. Goldman, "EM-DD: An improved multiple-instance learning technique," Neural Information Processing Systems 14, p. 10, 2001.
    • (2001) Neural Information Processing Systems , vol.14 , pp. 10
    • Zhang, Q.1    Goldman, S.2
  • 7
    • 0035172225 scopus 로고    scopus 로고
    • Support vector machines for broad area feature extraction in remotely sensed images
    • S. Perkins, N. R. Harvey, S. P. Brumby and K. Lacker, "Support Vector Machines for Broad Area Feature Extraction in Remotely Sensed Images", in Proc. SPIE 4381, pp. 286-295, 2001.
    • (2001) Proc. SPIE , vol.4381 , pp. 286-295
    • Perkins, S.1    Harvey, N.R.2    Brumby, S.P.3    Lacker, K.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.