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Volumn 30, Issue 3, 2009, Pages 222-230

Mean shift: An information theoretic perspective

Author keywords

Information theoretic learning; Mean shift; Renyi's entropy

Indexed keywords

ENTROPY; IMAGE PROCESSING; IMAGE SEGMENTATION; INFORMATION THEORY; TRELLIS CODES;

EID: 57249088917     PISSN: 01678655     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patrec.2008.09.011     Document Type: Article
Times cited : (47)

References (16)
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    • Carreira-Perpiñán M.A. Fast nonparametric clustering with Gaussian blurring mean-shift. In: Cohen W.W., and Moore A. (Eds). ICML (2006), ACM 153-160
    • (2006) ICML , pp. 153-160
    • Carreira-Perpiñán, M.A.1
  • 5
    • 0036565814 scopus 로고    scopus 로고
    • Mean shift: A robust approach toward feature space analysis
    • Comaniciu D., and Meer P. Mean shift: A robust approach toward feature space analysis. IEEE Trans. Pattern Anal. Machine Intell. 24 5 (2002) 603-619
    • (2002) IEEE Trans. Pattern Anal. Machine Intell. , vol.24 , Issue.5 , pp. 603-619
    • Comaniciu, D.1    Meer, P.2
  • 6
    • 0033682434 scopus 로고    scopus 로고
    • Comaniciu, D., Ramesh, V., Meer, P., 2000. Real-time tracking of non-rigid objects using mean shift. In: Proc. IEEE Conf. Computer Vision and Pattern Recognition, vol. 2, pp. 142-149.
    • Comaniciu, D., Ramesh, V., Meer, P., 2000. Real-time tracking of non-rigid objects using mean shift. In: Proc. IEEE Conf. Computer Vision and Pattern Recognition, vol. 2, pp. 142-149.
  • 7
    • 57249108924 scopus 로고    scopus 로고
    • Erdogmus, D., 2002. Information theoretic learning: Renyi's entropy and its applications to adaptive system training. Ph.D. Thesis, University of Florida.
    • Erdogmus, D., 2002. Information theoretic learning: Renyi's entropy and its applications to adaptive system training. Ph.D. Thesis, University of Florida.
  • 9
    • 0016421071 scopus 로고
    • The estimation of the gradient of a density function with applications in pattern recognition
    • Fukunaga K., and Hostetler L. The estimation of the gradient of a density function with applications in pattern recognition. IEEE Trans. Inform. Theory 21 1 (1975) 32-40
    • (1975) IEEE Trans. Inform. Theory , vol.21 , Issue.1 , pp. 32-40
    • Fukunaga, K.1    Hostetler, L.2
  • 10
    • 57249114902 scopus 로고    scopus 로고
    • Jenssen, R., 2005. An information theoretic approach to machine learning. Ph.D. Thesis, University of Tromso.
    • Jenssen, R., 2005. An information theoretic approach to machine learning. Ph.D. Thesis, University of Tromso.
  • 12
    • 0041940183 scopus 로고    scopus 로고
    • Ramanan, D., Forsyth, D.A., 2003. Finding and tracking people from the bottom up. In: Proc. IEEE Conf. Computer Vision and Pattern Recognition, pp. 467-474.
    • Ramanan, D., Forsyth, D.A., 2003. Finding and tracking people from the bottom up. In: Proc. IEEE Conf. Computer Vision and Pattern Recognition, pp. 467-474.
  • 13
    • 38949194181 scopus 로고    scopus 로고
    • Rao, S., Liu, W., Principe, J.C., de Medeiros Martins, A., 2006. Information theoretic mean shift algorithm. In: Proc. IEEE Conf. Machine Learning for Signal Processing, pp. 155-160.
    • Rao, S., Liu, W., Principe, J.C., de Medeiros Martins, A., 2006. Information theoretic mean shift algorithm. In: Proc. IEEE Conf. Machine Learning for Signal Processing, pp. 155-160.
  • 14
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    • Renyi, A., 1961. On measure of entropy and information. In: Proc. Fourth Berkeley Symp. Math. Stat. and Prob., vol. 1, pp. 547-561.
    • Renyi, A., 1961. On measure of entropy and information. In: Proc. Fourth Berkeley Symp. Math. Stat. and Prob., vol. 1, pp. 547-561.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.