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Stochastic boundary estimation and object recognition
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D. B. Cooper, H. Elliott, F. Cohen, L. Reiss, and P. Symosek, “Stochastic boundary estimation and object recognition,” Comput. Graphics Image Processing, pp. 326-356, Apr. 1980; also in Image Modeling, A. Rosenfeld, Ed. New York: Academic, 1981, pp. 63-94.
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Cooper, D.B.1
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Implementation, interpretation, and analysis of a suboptimal boundary finding algorithm
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Mar.
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H. Elliott, D. B. Cooper, F. Cohen, and P. Symosek, “Implementation, interpretation, and analysis of a suboptimal boundary finding algorithm,” IEEE Trans. Pattern Anal. Machine Intell., vol. PAMI-4, pp. 167-182, Mar. 1982.
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Implementation, interpretation and analysis of a suboptimal boundary finding algorithm
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Chicago, IL, Aug. 6-8
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H. Elliott, D. B. Cooper, and P. Symosek, “Implementation, interpretation and analysis of a suboptimal boundary finding algorithm,” in Proc. IEEE Comput. Soc. Conf. on Pattern Recognition and Image Processing, Chicago, IL, Aug. 6-8, 1979, pp. 122-129.
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Elliott, H.1
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Maximum likelihood estimation of Markov process blob boundaries in noisy images
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Cooper, D.B.1
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The ripple filter: An algorithm for region growing in scene analysis
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Chicago, IL, Nov. 6-8
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L. Reiss and D. B. Cooper, “The ripple filter: An algorithm for region growing in scene analysis,” in Proc. IEEE Comput. Soc. Conf. on Comput. Software and Applications, Chicago, IL, Nov. 6-8, 1979, pp. 849-853.
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Proc. IEEE Comput. Soc. Conf. on Comput. Software and Applications
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Reiss, L.1
Cooper, D.B.2
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M.Sc. thesis, Div. Eng., Brown Univ., Providence, RI, June
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F. Cohen, “Sequential boundary estimation using dynamical system boundary models and Kalman filtering,” M.Sc. thesis, Div. Eng., Brown Univ., Providence, RI, June 1980.
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“Sequential boundary estimation using dynamical system boundary models and Kalman filtering,”
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Cohen, F.1
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9
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0019260132
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A parallel-window estimator for object boundary finding in noisy images
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Miami, FL, Dec. 1-4
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P. S. Schenker, D. B. Cooper, and K. Wong, “A parallel-window estimator for object boundary finding in noisy images,” in Proc. 5th Joint Int. Conf. Pattern Recognition, Miami, FL, Dec. 1-4, 1980, pp. 1308-1313.
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Proc. 5th Joint Int. Conf. Pattern Recognition
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Schenker, P.S.1
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Aspects of dynamic programming in signal and image processing
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L. L. Scharf and H. Elliott, “Aspects of dynamic programming in signal and image processing,” IEEE Trans. Automat. Contr., vol. AC-26, pp. 1018-1029, Oct. 1981.
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Scharf, L.L.1
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Estimation-detection of object boundaries in noisy images
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N. E. Nahi and S. Lopez-Mora, “Estimation-detection of object boundaries in noisy images,” IEEE Trans. Automat. Contr., vol. AC-23, pp. 834-845, Oct. 1978.
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A maximum likelihood framework for boundary estimation in noisy images
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Chicago, IL, May 31-June 2
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D. B. Cooper and H. Elliott, “A maximum likelihood framework for boundary estimation in noisy images,” in Proc. IEEE Comput. Soc. Conf. Pattern Recognition and Image Processing, Chicago, IL, May 31-June 2, 1978, pp. 25-31.
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Proc. IEEE Comput. Soc. Conf. Pattern Recognition and Image Processing
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Cooper, D.B.1
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Two-dimensional image boundary estimation by use of likelihood maximization and Kalman filtering
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Denver, CO, Apr. 9-11
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F. Cohen, D. B. Cooper, H. Elliott, and P. Symosek, “Two-dimensional image boundary estimation by use of likelihood maximization and Kalman filtering,” in Proc. 1980 IEEE Int. Conf. Acoust., Speech, Signal Processing, Denver, CO, Apr. 9-11, 1980, pp. 410-413.
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Proc. 1980 IEEE Int. Conf. Acoust., Speech, Signal Processing
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Cohen, F.1
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Simultaneous optimum detection and estimation of signals in noise
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M.Sc. thesis, Div. Eng., Brown Univ., Providence, RI, pp. 63, 64, June
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P. F. Symosek, “Implementation and analysis of a sequential boundary finder for stochastic boundaries,” M.Sc. thesis, Div. Eng., Brown Univ., Providence, RI, pp. 63, 64, June 1980.
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“Implementation and analysis of a sequential boundary finder for stochastic boundaries,”
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Symosek, P.F.1
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17
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0019267761
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Toward a theory of multiple-window algorithms for fast adaptive boundary finding in computer vision
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Miami, FL, Dec. 1-4
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D. B. Cooper, F. Sung, and P. S. Schenker, “Toward a theory of multiple-window algorithms for fast adaptive boundary finding in computer vision,” in Proc. 5th Int. Conf. Pattern Recognition, Miami, FL, Dec. 1-4, 1980, pp. 1278-1284.
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Proc. 5th Int. Conf. Pattern Recognition
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Cooper, D.B.1
Sung, F.2
Schenker, P.S.3
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Level-crossing problems for random processes
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IEEE Trans. Inform. Theory
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Blake, I.F.1
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M.Sc. thesis, Div. Eng., Brown Univ., Providence, RI June
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F. Sung, “A fast adaptive parallel algorithm for boundary estimation in noisy images using dynamic programming,” M.Sc. thesis, Div. Eng., Brown Univ., Providence, RI, pp. 29-42, June 1981.
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“A fast adaptive parallel algorithm for boundary estimation in noisy images using dynamic programming,”
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