-
1
-
-
0021404166
-
Mixture densities, maximum likelihood and the em algorithm
-
R.A.Render,H.F.Walker," MixtureDensities, MaximumLikelihoodandtheEMAlgorithm" ,SIAMRev.Vol.26(2),1984,195-239. (Pubitemid17491604)
-
(1984)
SIAM Review
, vol.26
, Issue.2
, pp. 195-239
-
-
Redner, R.A.1
Walker, H.F.2
-
2
-
-
0002629270
-
Maximun likelihood from incomplete data via the em algorithm
-
Dempster A.P, Laird N.M, Rubin D.B., " Maximun Likelihood from Incomplete Data via the EM Algorithm" . Journal of the Royal Statistical Soceity, B, Vol.39, 1977, pp. 1-38.
-
(1977)
Journal of the Royal Statistical Soceity, B
, vol.39
, pp. 1-38
-
-
Dempster, A.P.1
Laird, N.M.2
Rubin, D.B.3
-
5
-
-
0001781043
-
Distribution problems in clustering. classification and clustering
-
New York: Academic pi-ess
-
J.A.Hartigan ," Distribution Problems in Clustering. Classification and Clustering" J. Van Ryzin Eds. New York: Academic pi-ess, 1977, pp.45-72.
-
(1977)
J. Van Ryzin Eds.
, pp. 45-72
-
-
Hartigan, J.A.1
-
6
-
-
0034264299
-
SMEM algorithm for mixture models
-
N. Ueda, R. Nakano, Y.Z. Ghahramani, G.E. Hiton, " SMEM Algorithm for Mixture Models" , Neural Computation. Vol.12(10), 2000, pp.2109-2128.
-
(2000)
Neural Computation.
, vol.12
, Issue.10
, pp. 2109-2128
-
-
Ueda, N.1
Nakano, R.2
Ghahramani, Y.Z.3
Hiton, G.E.4
-
7
-
-
0038309400
-
EM algorithms for gaussian mixtures with split-and-merge operation
-
Z. Zhang, C. Chen, J. Sun, et al., " EM Algorithms for Gaussian Mixtures with Split-and-merge Operation" , Pattern Recognitor Vol.36, 2003, pp. 1973-1983.
-
(2003)
Pattern Recognitor
, vol.36
, pp. 1973-1983
-
-
Zhang, Z.1
Chen, C.2
Sun, J.3
-
8
-
-
0021404166
-
Mixture densities, maximum likelihood and the em algorithm
-
R.A. Render and H.F. Walker, "Mixture Densities, Maximum Likelihood and the EM Algorithm", SIAM Review, Vol. 26 (2), 1984, 195-239. (Pubitemid17491604)
-
(1984)
SIAM Review
, vol.26
, Issue.2
, pp. 195-239
-
-
Redner, R.A.1
Walker, H.F.2
-
9
-
-
0001332786
-
An examination of procedures for determining the number of clusters in a data set
-
G.W. Millgan and M.C. Copper, " An Examination of Procedures for Determining the Number of Clusters in a Data Set" , Psychometrika, Vol.46, 1985, pp. 187-199.
-
(1985)
Psychometrika
, vol.46
, pp. 187-199
-
-
Millgan, G.W.1
Copper, M.C.2
-
10
-
-
0037317897
-
Efficient greedy learning of gaussian mixture models
-
J.J. Verbeek, N. Vlassis, B. Kröse, " Efficient Greedy Learning of Gaussian Mixture Models" . Neural Computation, Vol.15(2), 2003, pp. 469-485.
-
(2003)
Neural Computation, Vol.
, vol.15
, Issue.2
, pp. 469-485
-
-
Verbeek, J.J.1
Vlassis, N.2
Kröse, B.3
-
11
-
-
33751368472
-
Color image segmentation through unsupervised Gaussian mixture models
-
Advances in Artificial Intelligence - IBERAMIA-SBIA 2006 - 2nd International Joint Conference, 10th Ibero-American Conference on AI, 18th Brazilian AI Symposium, Proceedings
-
P. Antonio, E. Francisco and M. S. Juan, " Color Image Segmentation Through Unsupervised Gaussian Mixture Models" , Lecture Notes in Computer Science, Vol.4140, 2006, pp. 149-158. (Pubitemid 44812265)
-
(2006)
Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
, vol.4140
, pp. 149-158
-
-
Penalver, A.1
Escolano, F.2
Saez, J.M.3
-
12
-
-
33749616052
-
Two entropy-based methods for learning unsupervised Gaussian mixture models
-
Structural, Syntactic, and Statistical Pattern Recognition - Joint IAPR International Workshops, SSPR 2006 and SPR 2006, Proceedings
-
P. Antonio , E. Francisco and M. S.Juan , " Two EntropyBased Methods for Learning Unsupervised Gaussian Mixture Models" , Lecture Notes in Computer Science, Vol.4109, 2006, pp.649-657. (Pubitemid 44543156)
-
(2006)
Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
, vol.4109
, pp. 649-657
-
-
Penalver, A.1
Escolano, F.2
Saez, J.M.3
-
14
-
-
0000120766
-
Estimating the dimension of a model
-
G. Scharz, " Estimating the Dimension of a Model" , The Annals of Statistics, Vol.6, 1978, pp:461-464
-
(1978)
The Annals of Statistics
, vol.6
, pp. 461-464
-
-
Scharz, G.1
-
18
-
-
10644292834
-
Methods of information geometry
-
Oxford University Press
-
S. Amari and H. Nagaoka, Methods of Information Geometry. AMS, Oxford University Press, 2000
-
(2000)
AMS
-
-
Amari, S.1
Nagaoka, H.2
-
19
-
-
0036469527
-
A greedy em algorithm for gaussian mixture learning
-
N. Vlassis and A. Likas, " A greedy EM algorithm for Gaussian Mixture Learning" , Neural Processing Letters, Vol.15, 2002, pp. 77-87.
-
(2002)
Neural Processing Letters
, vol.15
, pp. 77-87
-
-
Vlassis, N.1
Likas, A.2
-
21
-
-
0031076756
-
EM algorithm initialised by a tree structure scheme
-
J. K. Fwu and P. M. DjuriC, " EM Algorithm Initialised by a Tree Structure Scheme" , IEEE Trans. on Image Processing, vol.6, 1997, pp. 349-352.
-
(1997)
IEEE Trans. on Image Processing
, vol.6
, pp. 349-352
-
-
Fwu, J.K.1
Djuric, P.M.2
-
22
-
-
0242657969
-
Competitive em algorithm for finite mixture models
-
B. Zhang, C. Zhang, X. Yi, " Competitive EM Algorithm for Finite Mixture Models" , Pattern Recognition, Vol.37, 2004, pp.131-144.
-
(2004)
Pattern Recognition
, vol.37
, pp. 131-144
-
-
Zhang, B.1
Zhang, C.2
Yi, X.3
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