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PIEEE(61), No. 3, March 1973, pp. 268-277.
An algorithm to compute the optimal (most likely) state sequence in
a hidden Markov model given a
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See also Error bounds for convolutional codes and an asymptotically optimal decoding algorithm.
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Barrow, H.G., and
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PIEEE(69), No. 5, May 1981, pp. 572-595.
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Brady, M.,
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And:
MIT AI Memo-653, October 1981.
Survey, Computational Vision.
Computational Vision, Survey. Survey of much of the DARPA research (up to early 81).
Concentrates on general processing techniques and ignores
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Brady, M.[Mike],
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MIT AI Memo-593, September 1980.
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RCV87(298-328).
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And:
MIT AI Memo-723, June 1983.
BibRef
And:
Visual Routines: Where bottom-Up and Top-down Processing Meet,
PR(2), 1986, pp. 159-213.
This second reference cannot be correct, not for the Pattern Recognition
journal.
General discussion of the later processing of visual information.
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Lee, D.,
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Uttal, W.R.,
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Daugman, J.G.,
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Fejes, S.,
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Migration Processes II: the Discrete Case,
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Fejes, S.,
Rosenfeld, A.,
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ICPR96(II: 345-349).
WWW Version.
9608(Univ. of Maryland, USA)
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UMDTechnical report. CS-TR-3603, CAR-TR-813TR, November 1995.
WWW Version.
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Ritter, G.X.,
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Zhu, S.C.[Song Chun],
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0108
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Cohen, L.D.[Laurent D.],
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JMIV(20), No. 1-2, January-March 2004, pp. 5-5.
WWW Version.
0403
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Cohen, L.D.[Laurent D.],
Guest Editorial,
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WWW Version.
0611Special issue intro.
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Prabhu, N.[Nagabhushana],
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0510Reduce vision problem to optimizing nonlinear function over a Lie manifold.
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Han, Y.,
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0510
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Fischer, S.[Sylvain],
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Are Iterations and Curvature Useful for Tensor Voting?,
ECCV04(Vol III: 158-169).
WWW Version.
0405Add iterations and curvature enhancements.
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Kokkinos, I.[Iasonas],
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Nayar, S.K.,
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ICIP01(Invited Talk, Computational Imaging).
0108Not in proceedings.
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Woodham, R.J.,
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(UBC) Nice discussion of various techniques.
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Edelman, S.[Shimon],
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Hildreth, E.C.[Ellen C.],
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MIT AI Memo-1038, April 1988.
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Hollerbach, J.M.[John M.],
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Modification of Prototypes,
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Chapter on Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar continues in
Physics Based Vision .