-
1
-
-
0001789533
-
Stochastic stereo matching over scale
-
May
-
S. T. Barnard, “Stochastic stereo matching over scale,” Int. J. Comput. Vision, vol. 3, no. 1, pp. 17–32, May 1989.
-
(1989)
Int. J. Comput. Vision
, vol.3
, Issue.1
, pp. 17-32
-
-
Barnard, S.T.1
-
2
-
-
0024480752
-
Comparison of the efficiency of deterministic and stochastic algorithms for visual reconstruction
-
Jan.
-
A. Blake, “Comparison of the efficiency of deterministic and stochastic algorithms for visual reconstruction,” IEEE Trans. Patt. Anal. Machine Intell., vol. 11, no. 1, pp. 2–12, Jan. 1989.
-
(1989)
IEEE Trans. Patt. Anal. Machine Intell.
, vol.11
, Issue.1
, pp. 2-12
-
-
Blake, A.1
-
4
-
-
0021496939
-
Smoothed local symmetries and their implementation
-
M. Brady and H. Asada, “Smoothed local symmetries and their implementation,” Int. J. Robotics Res., vol. 3, no. 3, pp. 36–61, 1984.
-
(1984)
Int. J. Robotics Res.
, vol.3
, Issue.3
, pp. 36-61
-
-
Brady, M.1
Asada, H.2
-
5
-
-
0022808786
-
A computational approach to edge detection
-
Nov.
-
J. Canny, “A computational approach to edge detection,” IEEE Trans. Patt. Anal. Machine Intell., vol. PAMI-8, no. 6, pp. 679–698, Nov. 1986.
-
(1986)
IEEE Trans. Patt. Anal. Machine Intell.
, vol.PAMI-8
, Issue.6
, pp. 679-698
-
-
Canny, J.1
-
6
-
-
0022149755
-
Image processing by simulated annealing
-
Nov.
-
P. Camevali, L. Coletti, and S. Patamello, “Image processing by simulated annealing,” IBM J. Res. Development, vol. 29, no. 6, pp 569–579, Nov. 1985.
-
(1985)
IBM J. Res. Development
, vol.29
, Issue.6
, pp. 569-579
-
-
Camevali, P.1
Coletti, L.2
Patamello, S.3
-
7
-
-
0000557257
-
Microcanonical Monte carlo simulation
-
May
-
M. Creutz, “Microcanonical Monte carlo simulation,” Phys. Rev. Lett., vol. 50, no. 19, pp. 1411–1414, May 1983.
-
(1983)
Phys. Rev. Lett.
, vol.50
, Issue.19
, pp. 1411-1414
-
-
Creutz, M.1
-
8
-
-
34250098710
-
Using Canny’s criteria to derive a recursively implemented optimal edge detector
-
R. Deriche, “Using Canny’s criteria to derive a recursively implemented optimal edge detector,” Int. J. Comput. Vision, vol. 1, no. 2, pp. 167–187, 1987.
-
(1987)
Int. J. Comput. Vision
, vol.1
, Issue.2
, pp. 167-187
-
-
Deriche, R.1
-
9
-
-
0026151642
-
Parallel and deterministic algorithms from mrf’s: Surface reconstruction
-
May
-
D. Geiger and F. Girosi, “Parallel and deterministic algorithms from mrf’s: Surface reconstruction,” IEEE Trans. Patt. Anal. Machine Intell, vol. 13, no. 5, pp. 410–412, May 1991.
-
(1991)
IEEE Trans. Patt. Anal. Machine Intell.
, vol.13
, Issue.5
, pp. 410-412
-
-
Geiger, D.1
Girosi, F.2
-
10
-
-
0026201666
-
A common framework for image segmentation
-
D. Geiger and A. Yuille, “A common framework for image segmentation,” Int. J. Comput. Vision, vol. 6, no. 3, pp. 227–243, 1991.
-
(1991)
Int. J. Comput. Vision
, vol.6
, Issue.3
, pp. 227-243
-
-
Geiger, D.1
Yuille, A.2
-
11
-
-
0021518209
-
Stochastic relaxation, Gibbs distributions, and bayesian restorarion of images
-
S. Geman and D. Geman, “Stochastic relaxation, Gibbs distributions, and bayesian restorarion of images,” IEEE Trans. Patt. Anal. Machine Intell, vol. PAMI-6, pp. 721–741, 1984.
-
(1984)
IEEE Trans. Patt. Anal. Machine Intell.
, vol.PAMI-6
, pp. 721-741
-
-
Geman, S.1
Geman, D.2
-
12
-
-
0026172105
-
Robust classifiers by mixed adaptation
-
June
-
D. Gutfinger and J. Sklansky, “Robust classifiers by mixed adaptation,” IEEE Trans. Patt. Anal. Machine Intell., vol. 13, no. 6, pp. 552–567, June 1991.
-
(1991)
IEEE Trans. Patt. Anal. Machine Intell.
, vol.13
, Issue.6
, pp. 552-567
-
-
Gutfinger, D.1
Sklansky, J.2
-
13
-
-
0342483701
-
Neural networks and graph K-partitioning
-
Dec.
-
L. Herault and J. J. Niez, “Neural networks and graph K-partitioning,” Complex Syst., vol. 3, no. 6, pp. 531–576, Dec. 1989.
-
(1989)
Complex Syst.
, vol.3
, Issue.6
, pp. 531-576
-
-
Herault, L.1
Niez, J.J.2
-
14
-
-
0010266113
-
Neural networks and combinatorial optimization: A study of NP-complete graph problems
-
(E. Gelembe, Ed.). Amsterdam: North Holland
-
L. Herault and J. J. Niez, “Neural networks and combinatorial optimization: A study of NP-complete graph problems,” in Neural Networks: Advances and Applications (E. Gelembe, Ed.). Amsterdam: North Holland, 1991, pp. 165–213.
-
(1991)
Neural Networks: Advances and Applications
, pp. 165-213
-
-
Herault, L.1
Niez, J.J.2
-
15
-
-
34250090755
-
Snakes: Active contour models
-
Jan.
-
M. Kass, A. Witkin, and D. Terzopoulos, “Snakes: Active contour models,” Int. J. Comput. Vision, vol. 1, no. 4, pp. 321–331, Jan. 1988.
-
(1988)
Int. J. Comput. Vision
, vol.1
, Issue.4
, pp. 321-331
-
-
Kass, M.1
Witkin, A.2
Terzopoulos, D.3
-
16
-
-
26444479778
-
Optimization by simulated annealing
-
S. Kirkpatrick, C. D. Gelatt, and M. P. Vecchi, “Optimization by simulated annealing,” Sci., vol. 220, pp. 671–680, 1983.
-
(1983)
Sci.
, vol.220
, pp. 671-680
-
-
Kirkpatrick, S.1
Gelatt, C.D.2
Vecchi, M.P.3
-
18
-
-
5744249209
-
Equations of state calculations by fast computing machines
-
N. Metropolis, A. W. Rosenbluth, M. N. Rosenbluth, A. H. Teller, and E. Teller, “Equations of state calculations by fast computing machines,” J. Chem. Phys., vol. 21, pp. 1087–1092, 1953.
-
(1953)
J. Chem. Phys.
, vol.21
, pp. 1087-1092
-
-
Metropolis, N.1
Rosenbluth, A.W.2
Rosenbluth, M.N.3
Teller, A.H.4
Teller, E.5
-
19
-
-
0022118450
-
Mean field theory for optimization problems
-
Sept.
-
H. Orland, “Mean field theory for optimization problems,” J. Phys.—Lett., vol. 46, no. 17, pp. L-763-L-770, Sept. 1985.
-
(1985)
J. Phys. Lett.
, vol.46
, Issue.17
, pp. L-763-L-770
-
-
Orland, H.1
-
20
-
-
0024715987
-
Trace inference, curvature consistency, and curve detection
-
Aug.
-
P. Parent and S. W. Zucker, “Trace inference, curvature consistency, and curve detection,” IEEE Trans. Patt. Anal. Machine Intell, vol. 11, no. 8, pp. 823–839, Aug. 1989.
-
(1989)
IEEE Trans. Patt. Anal. Machine Intell.
, vol.11
, Issue.8
, pp. 823-839
-
-
Parent, P.1
Zucker, S.W.2
-
21
-
-
0002259425
-
A new method for mapping optimization problems onto neural networks
-
C. Peterson, “A new method for mapping optimization problems onto neural networks,” Int. J. Neural Syst., vol. 1, no. 1, pp. 3–22, 1989.
-
(1989)
Int. J. Neural Syst.
, vol.1
, Issue.1
, pp. 3-22
-
-
Peterson, C.1
-
22
-
-
0024701127
-
Track finding with neural networks
-
C. Peterson, “Track finding with neural networks,” Nuclear Instrum. Methods Phys. Res., vol. A279, pp. 537–545, 1989.
-
(1989)
Nuclear Instrum. Methods Phys. Res.
, vol.A279
, pp. 537-545
-
-
Peterson, C.1
-
23
-
-
0001406440
-
A mean field learning algorithm for neural networks
-
C. Peterson and J. R. Anderson, “A mean field learning algorithm for neural networks,” Complex Syst., vol. 1, pp. 995–1019, 1987.
-
(1987)
Complex Syst.
, vol.1
, pp. 995-1019
-
-
Peterson, C.1
Anderson, J.R.2
-
25
-
-
0001041366
-
Separating figure from ground with a Boltzmann machine
-
(M. Arbib and A. Hanson, Eds.). Cambridge, MA: MIT Press
-
T. J. Sejnowski and G. E. Hinton, “Separating figure from ground with a Boltzmann machine,” in Vision, Brain, and Cooperative Computation (M. Arbib and A. Hanson, Eds.). Cambridge, MA: MIT Press, 1988, pp. 703–724.
-
(1988)
Vision Brain and Cooperative Computation
, pp. 703-724
-
-
Sejnowski, T.J.1
Hinton, G.E.2
-
26
-
-
0024168435
-
Structural saiiency: The detection of globally salient structures using a locally connected network
-
(Tampa, FL), Dec.
-
A. Sha’ashua and S. Ullman, “Structural saiiency: The detection of globally salient structures using a locally connected network,” in Proc. IEEE Int. Conf Comput. Vision (Tampa, FL), Dec. 1988, pp. 321–327.
-
(1988)
Proc. IEEE Int. Conf Comput. Vision
, pp. 321-327
-
-
Sha’ashua, A.1
Ullman, S.2
-
27
-
-
0003999855
-
Introduction to Phases Transitions and Critical Phenomena
-
Oxford, UK: Oxford University Press
-
H. E. Stanley, Introduction to Phases Transitions and Critical Phenomena. Oxford, UK: Oxford University Press, 1971.
-
(1971)
-
-
Stanley, H.E.1
-
29
-
-
0025592276
-
Mean field approximation using compound Gauss-Markov random field for edge detection and image restoration
-
(Alburquerque, NM), Apr.
-
J. Zerubia and R. Chellappa, “Mean field approximation using compound Gauss-Markov random field for edge detection and image restoration,” io Proc. ICASSP (Alburquerque, NM), 1990, pp. 2193–2196, Apr. 1990.
-
(1990)
Proc. ICASSP
, pp. 2193-2196
-
-
Zerubia, J.1
Chellappa, R.2
|