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Volumn 28, Issue 2, 2007, Pages 268-277

Mean shift algorithm equipped with the intersection of confidence intervals rule for image segmentation

Author keywords

Bandwidth selection; Image segmentation; Intersection of confidence intervals (ICI); Kernel function; Mean shift

Indexed keywords

BANDWIDTH; FEATURE EXTRACTION; IMAGE SEGMENTATION; OPTIMIZATION; PARAMETER ESTIMATION;

EID: 33750805273     PISSN: 01678655     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patrec.2006.07.011     Document Type: Article
Times cited : (9)

References (14)
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    • Duong, T.1    Hazelton, M.L.2
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    • The estimation of the gradient of a density function, with applications in pattern recognition
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    • Fukunaga, K.1    Hostetler, L.D.2
  • 7
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    • Goldenshluger A., and Nemirovsky A. On spatial adaptive estimation of nonparametric regression. Math. Methods Statist. 6 2 (1997) 135-170
    • (1997) Math. Methods Statist. , vol.6 , Issue.2 , pp. 135-170
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    • A new method for varying adaptive bandwidth selection
    • Katkovnik V. A new method for varying adaptive bandwidth selection. IEEE Trans. Signal Process. 47 9 (1999) 2567-2571
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    • Katkovnik, V., Shmulevich, I., 2001. Nonparametric density estimation with adaptive varying window size. In: Serpico, Sebastiano B. (Ed.), Proc. SPIE - vol. 4170, Image and Signal Processing for Remote Sensing VI, January 2001, pp. 141-150.
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    • Kernel density estimation with varying data-driven bandwidth
    • Katkovnik V., and Shmulevich I. Kernel density estimation with varying data-driven bandwidth. Pattern Recognition Lett. 23 (2002) 1641-1648
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.