-
2
-
-
84874729892
-
An adaptive segmentation algorithm for time-of-flight MRA data
-
D. Wilson and J. Noble, "An adaptive segmentation algorithm for time-of-flight MRA data", IEEE TMI, vol. IS, no. 10, pp. 93S-945, 1999.
-
(1999)
IEEE TMI
, vol.IS
, Issue.10
-
-
Wilson, D.1
Noble, J.2
-
3
-
-
33645168081
-
Precise segmentation of multi-modal images
-
A. A. Farag, A. EI-Baz, and G. Gimel'farb, "Precise segmentation of multi-modal images", IEEE Trans Image Process., vol. 15, no. 4, pp. 952-968, 2006.
-
(2006)
IEEE Trans Image Process.
, vol.15
, Issue.4
, pp. 952-968
-
-
Farag, A.A.1
Ei-Baz, A.2
Gimel'Farb, G.3
-
4
-
-
48149107192
-
EM based approximation of empirical distributions with linear combinations of discrete Gaussians
-
San Antonio, Texas, September 16-19
-
A. EI-Baz and G. Gimel'farb, "EM based approximation of empirical distributions with linear combinations of discrete Gaussians", In: Proc. Int. Conf. Image Processing (ICIP'07), San Antonio, Texas, September 16-19, 2007, pp. 373-376.
-
(2007)
Proc. Int. Conf. Image Processing (ICIP'07)
, pp. 373-376
-
-
Ei-Baz, A.1
Gimel'Farb, G.2
-
5
-
-
0000501656
-
Information theory and an extension of the maximum likelihood principle
-
H. Akaike, "Information theory and an extension of the maximum likelihood principle", In: 2nd Int. Symposium on Information Theory, 1973, pp. 267-281.
-
(1973)
2nd Int. Symposium on Information Theory
, pp. 267-281
-
-
Akaike, H.1
-
6
-
-
0344309194
-
Detecting fish in underwater vedio using the em algorithm
-
F. H. Evans, "Detecting fish in underwater vedio using the EM algorithm," In: Proc. Int. Conf Image Processing (ICIP'03), 2003, pp. 1029-1032.
-
(2003)
Proc. Int. Conf Image Processing (ICIP'03)
, pp. 1029-1032
-
-
Evans, F.H.1
-
7
-
-
84859587495
-
Finite mixture estimation algorithm for arbitrary function approximation
-
DOI: 10.5545/sv-jme.2011.085
-
M. Volk, M. Nagode, and M. Fajdiga, "Finite mixture estimation algorithm for arbitrary function approximation", Journal of Mechanical Engineering, 2011, DOI: 10.5545/sv-jme.2011.085.
-
(2011)
Journal of Mechanical Engineering
-
-
Volk, M.1
Nagode, M.2
Fajdiga, M.3
-
8
-
-
69949154205
-
Density estimation using a new aictype criterion and the em algorithm for a linear combination of gaussians
-
A. M. Ali and A. A. Farag, "Density estimation using a new aictype criterion and the EM algorithm for a linear combination of gaussians," In: Proc. ICIP, 2008, pp. 3024-3027.
-
(2008)
Proc. ICIP
, pp. 3024-3027
-
-
Ali, A.M.1
Farag, A.A.2
-
9
-
-
0000120766
-
Estimating the dimension of a model
-
G. Schwarz, "Estimating the Dimension of a Model", Annals of Statistics, vol. 6, pp. 461-464, 1978.
-
(1978)
Annals of Statistics
, vol.6
, pp. 461-464
-
-
Schwarz, G.1
-
10
-
-
0011224170
-
Unsupervised learning using MML
-
J. Oliver, R. Baxter, and C. Wallace, " Unsupervised learning using MML,", In: Proc. 13th Int. Conf Machine Learning, 1996, pp. 364-372.
-
(1996)
Proc. 13th Int. Conf Machine Learning
, pp. 364-372
-
-
Oliver, J.1
Baxter, R.2
Wallace, C.3
-
11
-
-
0036522404
-
Unsupervised learning of finite mixture models
-
M. A. Figueiredo and A. K. Jain, " Unsupervised learning of finite mixture models", IEEE Trans. PAMI vol. 24, pp. 381-396, 2002.
-
(2002)
IEEE Trans. PAMI
, vol.24
, pp. 381-396
-
-
Figueiredo, M.A.1
Jain, A.K.2
-
12
-
-
0000308948
-
Using the classification likelihood to choose the number of clusters
-
C. Biernacki and G. Govaert, " Using the classification likelihood to choose the number of clusters", Computing Science and Statistics, vol. 29, pp. 451-457, 1997.
-
(1997)
Computing Science and Statistics
, vol.29
, pp. 451-457
-
-
Biernacki, C.1
Govaert, G.2
-
13
-
-
0035306657
-
Mutual information theory for adaptive mixture models
-
Z. R. Yang and M. Zwolinski, "Mutual information theory for adaptive mixture models", IEEE Trans. PAMI, vol. 23, pp. 396-403, 2001.
-
(2001)
IEEE Trans. PAMI
, vol.23
, pp. 396-403
-
-
Yang, Z.R.1
Zwolinski, M.2
-
14
-
-
0036487280
-
The global k-means clustering algorithm
-
A. Likas, N. V lassis, and J. Verbeek, "The global k-means clustering algorithm", Pattern Recognition, vol. 36, pp. 451-461, 2003.
-
(2003)
Pattern Recognition
, vol.36
, pp. 451-461
-
-
Likas, A.1
Vlassis, N.2
Verbeek, J.3
-
15
-
-
0037317897
-
Efficient greedy learning of Gaussian mixture
-
J. Verbeek, N. V lassis, and B. Krose, "Efficient greedy learning of Gaussian mixture", Neural Computation, vol. 15, pp. 469-485, 2003.
-
(2003)
Neural Computation
, vol.15
, pp. 469-485
-
-
Verbeek, J.1
Vlassis, N.2
Krose, B.3
-
16
-
-
0023570352
-
On bootstrapping the likelihood ratio test statistic for the number of components in a normal mixture
-
G. McLachlan, "On bootstrapping the likelihood ratio test statistic for the number of components in a normal mixture", J. Royal Statistical Soc. Series (C), vol. 36, pp. 318-324, 1987.
-
(1987)
J. Royal Statistical Soc. Series (C)
, vol.36
, pp. 318-324
-
-
McLachlan, G.1
-
17
-
-
0001942153
-
Model selection for probabilistic clustering using cross-validated likelihood
-
P. Smyth, "Model selection for probabilistic clustering using cross-validated likelihood", Statistics and Computing, vol. 10, no. 1, pp. 63-72, 2000.
-
(2000)
Statistics and Computing
, vol.10
, Issue.1
, pp. 63-72
-
-
Smyth, P.1
|