-
1
-
-
0041955794
-
Dynamic trees: A hierarchical probabilistic approach to image modelling
-
PhD thesis, Division of Informatics, Univ. of Edinburgh, 5 Forrest HIll, Edinburgh, EH1 2QL, UK
-
N.J. Adams, "Dynamic Trees: A Hierarchical Probabilistic Approach to Image Modelling," PhD thesis, Division of Informatics, Univ. of Edinburgh, 5 Forrest HIll, Edinburgh, EH1 2QL, UK, 2001.
-
(2001)
-
-
Adams, N.J.1
-
2
-
-
28044464295
-
MFDTs: Mean field dynamic trees
-
N.J. Adams, A.J. Storkey, Z. Ghahramani, and C.K.I. Williams, "MFDTs: Mean Field Dynamic Trees," Proc. 15th Int'l Conf. Pattern Recognition, 2000.
-
Proc. 15th Int'l Conf. Pattern Recognition, 2000
-
-
Adams, N.J.1
Storkey, A.J.2
Ghahramani, Z.3
Williams, C.K.I.4
-
3
-
-
0026628467
-
Modeling and estimation of multiresolution stochastic processes
-
M. Basseville, A. Benveniste, K.C. Chou S.A. Golden, R. Nikoukhah, and A.S. Willsky, "Modeling and Estimation of Multiresolution Stochastic Processes," IEEE Trans. Information Theory, vol. 38, pp. 766-784, 1992.
-
(1992)
IEEE Trans. Information Theory
, vol.38
, pp. 766-784
-
-
Basseville, M.1
Benveniste, A.2
Chou, K.C.3
Golden, S.A.4
Nikoukhah, R.5
Willsky, A.S.6
-
4
-
-
0000013152
-
On the statistical analysis of dirty pictures
-
J. Besag, "On the Statistical Analysis of Dirty Pictures," J. Royal Statistics, Soc. B, vol. 48, no. 3, pp. 259-302, 1974.
-
(1974)
J. Royal Statistics, Soc. B
, vol.48
, Issue.3
, pp. 259-302
-
-
Besag, J.1
-
5
-
-
0028392841
-
A multiscale random field model for bayesian image segmentation
-
C.A. Bouman and M. Shapiro, "A Multiscale Random Field Model for Bayesian Image Segmentation," IEEE Trans. Image Processing, vol. 3, no. 2, pp. 162-177, 1994.
-
(1994)
IEEE Trans. Image Processing
, vol.3
, Issue.2
, pp. 162-177
-
-
Bouman, C.A.1
Shapiro, M.2
-
7
-
-
33747727601
-
Wavelet-based statistical signal processing using hidden markov models
-
M. Crouse, R. Nowak, and R. Baraniuk, "Wavelet-Based Statistical Signal Processing Using Hidden Markov Models," IEEE Trans. Signal Processing, vol. 46, pp. 886-902. 1998.
-
(1998)
IEEE Trans. Signal Processing
, vol.46
, pp. 886-902
-
-
Crouse, M.1
Nowak, R.2
Baraniuk, R.3
-
8
-
-
0029372831
-
The helmholtz machine
-
P. Dayan, G.E. Hinton, R.M. Neal, and R.S. Zemel, "The Helmholtz Machine," Neural Computation, vol. 7, no. 5, pp. 889-904. 1995.
-
(1995)
Neural Computation
, vol.7
, Issue.5
, pp. 889-904
-
-
Dayan, P.1
Hinton, G.E.2
Neal, R.M.3
Zemel, R.S.4
-
9
-
-
0008953541
-
A non-parametric multi-scale statistical model for natural images
-
M.I. Jordan, M.J. Kearns, and S.A. Solla, eds.
-
J.S. de Bonet and P.A. Viola, "A Non-Parametric Multi-Scale Statistical Model for Natural Images," Proc. Advances in Neural information Processing Systems, M.I. Jordan, M.J. Kearns, and S.A. Solla, eds., vol. 10, pp. 773-779, 1998.
-
(1998)
Proc. Advances in Neural Information Processing Systems
, vol.10
, pp. 773-779
-
-
De Bonet, J.S.1
Viola, P.A.2
-
10
-
-
0036537558
-
Combining belief networks and neural networks for scene segmentation
-
Apr.
-
X. Feng, C.K.I. Williams, and S.N. Felderhof, "Combining Belief Networks and Neural Networks for Scene Segmentation," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 24, no. 4, pp. 467-483, Apr. 2002.
-
(2002)
IEEE Trans. Pattern Analysis and Machine Intelligence
, vol.24
, Issue.4
, pp. 467-483
-
-
Feng, X.1
Williams, C.K.I.2
Felderhof, S.N.3
-
11
-
-
0030125397
-
Knowledge representation and inference in similarity networks and bayesian multinets
-
D. Geiger and D. Heckerman, "Knowledge Representation and Inference in Similarity Networks and Bayesian Multinets," Artificial Intelligence, vol. 82, pp. 45-74, 1996.
-
(1996)
Artificial Intelligence
, vol.82
, pp. 45-74
-
-
Geiger, D.1
Heckerman, D.2
-
12
-
-
0021518209
-
Stochastic relaxation, gibbs distributions, and the bayesian restoration of images
-
S. Geman and D. Geman, "Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images," IEEE Trans. Pattern analysis and Machine Intelligence, vol. 6, no. 6, pp. 721-741, 1984.
-
(1984)
IEEE Trans. Pattern Analysis and Machine Intelligence
, vol.6
, Issue.6
, pp. 721-741
-
-
Geman, S.1
Geman, D.2
-
15
-
-
84898942806
-
Learning to parse images
-
S.A. Solla, T.K. Leen, and K.-R. Muller, eds.
-
G.E. Hinton, Z. Ghahramani, and Y.W. Teh, "Learning to Parse Images," Proc. Advances in Neural Information Processing Systems, S.A. Solla, T.K. Leen, and K.-R. Muller, eds., vol. 12, pp. 463-469, 2000.
-
(2000)
Proc. Advances in Neural Information Processing Systems
, vol.12
, pp. 463-469
-
-
Hinton, G.E.1
Ghahramani, Z.2
Teh, Y.W.3
-
16
-
-
84946919598
-
Statistical pattern recognition in image analysis
-
K.V. Mardia, ed.
-
J. Kittler, "Statistical Pattern Recognition in Image Analysis," Statistics and Images 2, K.V. Mardia, ed., pp. 61-75, 1994.
-
(1994)
Statistics and Images 2
, pp. 61-75
-
-
Kittler, J.1
-
18
-
-
0029230654
-
Bayesian belief networks as a tool for stochastic parsing
-
H. Lucke, "Bayesian Belief Networks as a Tool for Stochastic Parsing," Speech Comm., vol. 16, pp. 89-118, 1995.
-
(1995)
Speech Comm.
, vol.16
, pp. 89-118
-
-
Lucke, H.1
-
19
-
-
0028204562
-
Efficient multiscale regularization with applications to the computation of optical flow
-
M.R. Luettgen, W. Karl, and A.S. Willsky, "Efficient Multiscale Regularization with Applications to the Computation of Optical Flow," IEEE Trans. Image Processing, vol. 3, pp. 41-64, 1994.
-
(1994)
IEEE Trans. Image Processing
, vol.3
, pp. 41-64
-
-
Luettgen, M.R.1
Karl, W.2
Willsky, A.S.3
-
20
-
-
0029253301
-
Likelihood calculation for a class of multiscale stochastic models, with application to texture discrimination
-
M.R. Luettgen, A.S. Willsky, "Likelihood Calculation for a Class of Multiscale Stochastic Models, with Application to Texture Discrimination," IEEE Trans. Image Processing, vol. 4, no. 2, pp. 194-207, 1995.
-
(1995)
IEEE Trans. Image Processing
, vol.4
, Issue.2
, pp. 194-207
-
-
Luettgen, M.R.1
Willsky, A.S.2
-
21
-
-
0026139254
-
Hierarchical image analysis using irregular tesselations
-
Apr.
-
A. Montanvert, P. Meer, and A. Rosenfeld, "Hierarchical Image Analysis Using Irregular Tesselations," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 13, no. 4, pp. 307-316, Apr. 1991.
-
(1991)
IEEE Trans. Pattern Analysis and Machine Intelligence
, vol.13
, Issue.4
, pp. 307-316
-
-
Montanvert, A.1
Meer, P.2
Rosenfeld, A.3
-
23
-
-
0033882656
-
Noniterative manipulation of discrete energy-based models for image analysis
-
Apr.
-
P. Pérez, A. Chardin, and J.-M. Laferté, "Noniterative Manipulation of Discrete Energy-Based Models for Image Analysis," Pattern Recognition, vol. 33, no. 4, pp. 573-586, Apr. 2000.
-
(2000)
Pattern Recognition
, vol.33
, Issue.4
, pp. 573-586
-
-
Pérez, P.1
Chardin, A.2
Laferté, J.-M.3
-
24
-
-
0029358580
-
Parameter estimation of dependence tree models using the EM algorithm
-
O. Ronen, J.R. Rohlicek, and M. Ostendorf, "Parameter Estimation of Dependence Tree Models Using the EM Algorithm," IEEE Signal Processing Letters, vol. 2, no. 8, pp. 157-159, 1995.
-
(1995)
IEEE Signal Processing Letters
, vol.2
, Issue.8
, pp. 157-159
-
-
Ronen, O.1
Rohlicek, J.R.2
Ostendorf, M.3
-
25
-
-
0003214942
-
Exploiting tractable substructures in intractable networks
-
D.S. Touretzky, M.C. Mozer, and M.E. Hasselmo, eds.
-
L.K. Saul and M.I. Jordan, "Exploiting Tractable Substructures in Intractable Networks," Proc Advances in Neural Information Processing Systems, D.S. Touretzky, M.C. Mozer, and M.E. Hasselmo, eds., vol. 8, 1996.
-
(1996)
Proc Advances in Neural Information Processing Systems
, vol.8
-
-
Saul, L.K.1
Jordan, M.I.2
-
26
-
-
0042456341
-
Dynamic trees: A structured variational method giving efficient propagation rules
-
C. Boutilier and M. Goldszmidt, eds.; Morgan Kauffmann
-
A.J. Storkey, "Dynamic Trees: A Structured Variational Method Giving Efficient Propagation Rules," Uncertainty in Artificial Intelligence, C. Boutilier and M. Goldszmidt, eds., pp. 566-573, Morgan Kauffmann, 2000.
-
(2000)
Uncertainty in Artificial Intelligence
, pp. 566-573
-
-
Storkey, A.J.1
-
27
-
-
0003123657
-
The correlation theory of brain function
-
Internal Report 81-2,Max-Planck-Institut für Biophysikalische Chemie, 1981. Reprinted Models of Neural Networks, K. Schulten and H.-J. van Hemmen, eds., second, ed., Springer
-
C. von der Malsburg, "The Correlation Theory of Brain Function," Internal Report 81-2,Max-Planck-Institut für Biophysikalische Chemie, 1981. Reprinted Models of Neural Networks, K. Schulten and H.-J. van Hemmen, eds., second, ed., Springer, 1994.
-
(1994)
-
-
Von Der Malsburg, C.1
-
29
-
-
84898951384
-
DTs: Dynamic trees
-
M.J. Kearns, S.A. Solla, and D.A. Cohn, eds.
-
C.K.I. Williams and N.J. Adams, "DTs: Dynamic Trees," Proc. Advances in Neural Information Processing Systems, M.J. Kearns, S.A. Solla, and D.A. Cohn, eds., vol. 11, 1999.
-
(1999)
Proc. Advances in Neural Information Processing Systems
, vol.11
-
-
Williams, C.K.I.1
Adams, N.J.2
-
30
-
-
0031641511
-
Combining neural networks and belief networks for image segmentation
-
T. Constantinides, S.-Y. Kung, M. Niranjan, and E. Wilson, eds.
-
C.K.I. Williams and X. Feng, "Combining Neural Networks and Belief Networks for Image Segmentation," Proc. Neural Networks for Signal Processing VIII, T. Constantinides, S.-Y. Kung, M. Niranjan, and E. Wilson, eds., 1998.
-
(1998)
Proc. Neural Networks for Signal Processing VIII
-
-
Williams, C.K.I.1
Feng, X.2
|