-
1
-
-
84930793905
-
-
1985.
-
D.M. Titterington, A.F.M. Smith, and U.E. Makov, Statistical Analysis of Finite Mixture Distributions. New York, London, Sydney: John Wiley & Sons, 1985.
-
A.F.M. Smith, and U.E. Makov, Statistical Analysis of Finite Mixture Distributions. New York, London, Sydney: John Wiley & Sons
-
-
Titterington, D.M.1
-
2
-
-
0003545910
-
-
1992.
-
D.W. Scott, Multivariate Density Estimation. Theory, Practice, and Visualization. New York, London, Sydney: John Wiley & Sons, 1992.
-
Multivariate Density Estimation. Theory, Practice, and Visualization. New York, London, Sydney: John Wiley & Sons
-
-
Scott, D.W.1
-
3
-
-
0347963789
-
-
Jan. 1998.
-
C.M. Bishop, M. Svensén, and C.K.I. Williams, "GTM: The Generative Topographic Mapping," Neural Computation, vol. 10, pp. 215-234, Jan. 1998.
-
M. Svensén, and C.K.I. Williams, "GTM: the Generative Topographic Mapping," Neural Computation, Vol. 10, Pp. 215-234
-
-
Bishop, C.M.1
-
5
-
-
0032205609
-
-
Nov. 1998.
-
S.J. Roberts, D. Husmeier, I. Rezek, and W. Penny, "Bayesian Approaches to Gaussian Mixture Modeling," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 20, no. 11, pp. 1,133-1,142, Nov. 1998.
-
D. Husmeier, I. Rezek, and W. Penny, "Bayesian Approaches to Gaussian Mixture Modeling," IEEE Trans. Pattern Analysis and Machine Intelligence, Vol. 20, No. 11, Pp. 1,133-1,142
-
-
Roberts, S.J.1
-
6
-
-
0033556788
-
-
Feb. 1999.
-
M.E. Tipping and C.M. Bishop, "Mixtures of Probabilistic Principal Component Analyzers," Neural Computation, vol. 11, pp. 443-482, Feb. 1999.
-
"Mixtures of Probabilistic Principal Component Analyzers," Neural Computation, Vol. 11, Pp. 443-482
-
-
Tipping, M.E.1
Bishop, C.M.2
-
7
-
-
0030737323
-
-
Jan.1997.
-
G.E. Hinton, P. Dayan, and M. Revow, "Modeling the Manifolds of Images of Handwritten Digits," IEEE Trans. Neural Networks, vol. 8, pp. 65-74, Jan.1997.
-
P. Dayan, and M. Revow, "Modeling the Manifolds of Images of Handwritten Digits," IEEE Trans. Neural Networks, Vol. 8, Pp. 65-74
-
-
Hinton, G.E.1
-
8
-
-
84898937307
-
-
2000.
-
V.N. Vapnik and S. Mukherjee, "Support Vector Method for Multivariate Density Estimation," Advances in Neural Information Processing, S.A. Solla, T.K. Leen, and K.-R. Müller, eds., vol. 12, pp. 659-665, Cambridge, Mass.: MIT Press, 2000.
-
"Support Vector Method for Multivariate Density Estimation," Advances in Neural Information Processing, S.A. Solla, T.K. Leen, and K.-R. Müller, Eds., Vol. 12, Pp. 659-665, Cambridge, Mass.: MIT Press
-
-
Vapnik, V.N.1
Mukherjee, S.2
-
9
-
-
33747397805
-
-
1991.
-
R.A. Jacobs, M.I. Jordan, S.J. Nowlan, and G.E. Hinton, "Adaptive Mixtures of Local Experts," Neural Computation, vol. 3, no. 1, pp. 79-87, 1991.
-
M.I. Jordan, S.J. Nowlan, and G.E. Hinton, "Adaptive Mixtures of Local Experts," Neural Computation, Vol. 3, No. 1, Pp. 79-87
-
-
Jacobs, R.A.1
-
11
-
-
84972539429
-
-
Feb. 1986.
-
C. Genest and J.V. Zidek, "Combining Probability Distributions: A Critique and an Annotated Bibliography," Statistical Science, vol. 1, pp. 114-135 (with discussion pp. 135-148 ), Feb. 1986.
-
"Combining Probability Distributions: a Critique and an Annotated Bibliography," Statistical Science, Vol. 1, Pp. 114-135 (With Discussion Pp. 135-148 )
-
-
Genest, C.1
Zidek, J.V.2
-
13
-
-
0031188771
-
-
July 1997.
-
B. Moghaddam and A. Pentland, "Probabilistic Visual Learning for Object Representation," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 19, no. 7, pp. 696-710, July 1997.
-
"Probabilistic Visual Learning for Object Representation," IEEE Trans. Pattern Analysis and Machine Intelligence, Vol. 19, No. 7, Pp. 696-710
-
-
Moghaddam, B.1
Pentland, A.2
-
14
-
-
0032136153
-
-
1998.
-
M. Isard and A. Blake, "CONDENSATION-Conditional Density Propagation for Visual Tracking," Int'l }. Computer Vision, vol. 29, no. 1, pp. 5-28,1998.
-
"CONDENSATION-Conditional Density Propagation for Visual Tracking," Int'l }. Computer Vision, Vol. 29, No. 1, Pp. 5-28
-
-
Isard, M.1
Blake, A.2
-
15
-
-
11844268453
-
-
2000.
-
M.A. Carreira-Perpihan, "Reconstruction of Sequential Data with Probabilistic Models and Continuity Constraints," Advances in Neural Information Processing, S.A. Solla, T.K. Leen, and K.-R. Müller, eds., vol. 12, pp. 414-420, Cambridge, Mass.: MIT Press, 2000.
-
"Reconstruction of Sequential Data with Probabilistic Models and Continuity Constraints," Advances in Neural Information Processing, S.A. Solla, T.K. Leen, and K.-R. Müller, Eds., Vol. 12, Pp. 414-420, Cambridge, Mass.: MIT Press
-
-
Carreira-Perpihan, M.A.1
-
16
-
-
33747438562
-
-
1995.
-
A. Gelman, J.B. Carlin, H.S. Stern, and D.B. Rubin, Bayesian Data Analysis. London, New York: Chapman & Hall, 1995.
-
J.B. Carlin, H.S. Stern, and D.B. Rubin, Bayesian Data Analysis. London, New York: Chapman & Hall
-
-
Gelman, A.1
-
17
-
-
33747444098
-
-
Mar. 1999 (revised Aug. 2000 ). Available online at http://www.dcs.shef.ac.uk/miguel/papers/cs-99-03.html.
-
M.A. Carreira-Perpiiîân, "Mode-Finding for Mixtures of Gaussian Distributions," Technical Report CS-99-03, Dept. of Computer Science, Univ. of Sheffield, U.K., Mar. 1999 (revised Aug. 2000 ). Available online at http://www.dcs.shef.ac.uk/miguel/papers/cs-99-03.html.
-
"Mode-Finding for Mixtures of Gaussian Distributions," Technical Report CS-99-03, Dept. of Computer Science, Univ. of Sheffield, U.K.
-
-
Carreira-Perpiiîân, M.A.1
-
18
-
-
0025573210
-
-
1990.
-
R. Wilson and M. Spann, "A New Approach to Clustering," Pattern Recognition, vol. 23, no. 12, pp. 1,413-1,425, 1990.
-
"A New Approach to Clustering," Pattern Recognition, Vol. 23, No. 12, Pp. 1,413-1,425
-
-
Wilson, R.1
Spann, M.2
-
19
-
-
33745106047
-
-
1992.
-
W.H. Press, S.A. Teukolsky, W.T. Vetterling, and B.P. Flannery, Numerical Recipes in C: The Art of Scientific Computing, second ed. Cambridge, U.K.: Cambridge Univ. Press, 1992.
-
S.A. Teukolsky, W.T. Vetterling, and B.P. Flannery, Numerical Recipes in C: the Art of Scientific Computing, Second Ed. Cambridge, U.K.: Cambridge Univ. Press
-
-
Press, W.H.1
-
21
-
-
33747411095
-
-
1977.
-
A.P. Dempster, N.M. Laird, and D.B. Rubin, "Maximum Likelihood from Incomplete Data via the EM Algorithm," J. Royal Statistical Soc., B, vol. 39, no. 1, pp. 1-38, 1977.
-
N.M. Laird, and D.B. Rubin, "Maximum Likelihood from Incomplete Data via the EM Algorithm," J. Royal Statistical Soc., B, Vol. 39, No. 1, Pp. 1-38
-
-
Dempster, A.P.1
-
22
-
-
0032202775
-
-
Nov. 1998.
-
K. Rose, "Deterministic Annealing for Clustering, Compression, Classification, Regression, and Related Optimization Problems," Proc. IEEE, vol. 86, pp. 2,210-2,239, Nov. 1998.
-
"Deterministic Annealing for Clustering, Compression, Classification, Regression, and Related Optimization Problems," Proc. IEEE, Vol. 86, Pp. 2,210-2,239
-
-
Rose, K.1
-
23
-
-
0032594954
-
-
Sept. 1999.
-
B. Schölkopf, S. Mika, C.J.C. Burges, P. Knirsch, K.-R. Müller, G. Ratsch, and A. Smola, "Input Space vs. Feature Space in Kernel-Based Methods," IEEE Trans. Neural Networks, vol. 10, pp. 1,000-1,017, Sept. 1999.
-
S. Mika, C.J.C. Burges, P. Knirsch, K.-R. Müller, G. Ratsch, and A. Smola, "Input Space Vs. Feature Space in Kernel-Based Methods," IEEE Trans. Neural Networks, Vol. 10, Pp. 1,000-1,017
-
-
Schölkopf, B.1
-
25
-
-
0007425929
-
-
Apr. 1999.
-
J.H. Friedman and N.I. Fisher, "Bump Hunting in High-Dimensional Data," Statistics and Computing, vol. 9, pp. 123-143 (with discussion pp. 143-162 ), Apr. 1999.
-
"Bump Hunting in High-Dimensional Data," Statistics and Computing, Vol. 9, Pp. 123-143 (With Discussion Pp. 143-162 )
-
-
Friedman, J.H.1
Fisher, N.I.2
-
27
-
-
0028667342
-
-
1994.
-
R.D. Zhang and J.-G. Postaire, "Convexity Dependent Morphological Transformations for Mode Detection in Cluster-Analysis," Pattern Recognition, vol. 27, no. 1, pp. 135-148, 1994.
-
"Convexity Dependent Morphological Transformations for Mode Detection in Cluster-Analysis," Pattern Recognition, Vol. 27, No. 1, Pp. 135-148
-
-
Zhang, R.D.1
Postaire, J.-G.2
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