-
1
-
-
77951276538
-
A robust fuzzy local information C-means clustering algorithm
-
May
-
S. Krinidis and V. Chatzis, "A robust fuzzy local information C-means clustering algorithm," IEEE Trans. Image Process., vol. 19, no. 5, pp. 1328-1337, May 2010.
-
(2010)
IEEE Trans. Image Process.
, vol.19
, Issue.5
, pp. 1328-1337
-
-
Krinidis, S.1
Chatzis, V.2
-
2
-
-
74449083176
-
Semi-supervised clustering with metric learning: An adaptive kernel method
-
Apr.
-
X. Yin, S. Chen, E. Hu, and D. Zhang, "Semi-supervised clustering with metric learning: An adaptive kernel method," Pattern Recognit., vol. 43, no. 4, pp. 1320-1333, Apr. 2010.
-
(2010)
Pattern Recognit.
, vol.43
, Issue.4
, pp. 1320-1333
-
-
Yin, X.1
Chen, S.2
Hu, E.3
Zhang, D.4
-
3
-
-
67349203840
-
Generalized fuzzy C-means clustering algorithms with improved fuzzy partitions
-
Jun
-
L. Zhu, F. Chung, and S. Wang, "Generalized fuzzy C-means clustering algorithms with improved fuzzy partitions," IEEE Trans. Syst., Man, Cybern., B, Cybern., vol. 39, no. 3, pp. 578-591, Jun. 2009.
-
(2009)
IEEE Trans. Syst., Man, Cybern., B, Cybern.
, vol.39
, Issue.3
, pp. 578-591
-
-
Zhu, L.1
Chung, F.2
Wang, S.3
-
4
-
-
77956480010
-
Color image segmentation using histogram thresholding fuzzy C-means hybrid approach
-
S. Tan and N. A. M. Isa, "Color image segmentation using histogram thresholding fuzzy C-means hybrid approach," Pattern Recognit., vol. 44, no. 1, pp. 1-15, 2011.
-
(2011)
Pattern Recognit.
, vol.44
, Issue.1
, pp. 1-15
-
-
Tan, S.1
Isa, N.A.M.2
-
5
-
-
79959576791
-
A level set method for image segmentation in the presence of intensity inhomogeneities with application to MRI
-
Jul
-
C. Li, R. Huang, Z. Ding, J. C. Gatenby, D. N. Metaxas, and J. C. Gore, "A level set method for image segmentation in the presence of intensity inhomogeneities with application to MRI," IEEE Trans. Image Process., vol. 20, no. 7, pp. 2007-2016, Jul. 2011.
-
(2011)
IEEE Trans. Image Process.
, vol.20
, Issue.7
, pp. 2007-2016
-
-
Li, C.1
Huang, R.2
Ding, Z.3
Gatenby, J.C.4
Metaxas, D.N.5
Gore, J.C.6
-
6
-
-
0015644825
-
A fuzzy relative of the ISODATA process and its use in detecting compact well-separated clusters
-
J. Dunn, "A fuzzy relative of the ISODATA process and its use in detecting compact well-separated clusters," J. Cybern., vol. 3, no. 3, pp. 32-57, 1974.
-
(1974)
J. Cybern.
, vol.3
, Issue.3
, pp. 32-57
-
-
Dunn, J.1
-
8
-
-
0036489378
-
A modified fuzzy C-means algorithm for bias field estimation and segmentation of MRI data
-
DOI 10.1109/42.996338, PII S0278006202040880
-
M. Ahmed, S. Yamany, N. Mohamed, A. Farag, and T. Moriarty, "A modified fuzzy C-means algorithm for bias field estimation and segmentation of MRI data," IEEE Trans. Med. Imag., vol. 21, no. 3, pp. 193-199, Mar. 2002. (Pubitemid 34630837)
-
(2002)
IEEE Transactions on Medical Imaging
, vol.21
, Issue.3
, pp. 193-199
-
-
Ahmed, M.N.1
Yamany, S.M.2
Mohamed, N.3
Farag, A.A.4
Moriarty, T.5
-
9
-
-
3543098627
-
Robust image segmentation using FCM with spatial constraints based on new kernel-induced distance measure
-
Aug
-
S. Chen and D. Zhang, "Robust image segmentation using FCM with spatial constraints based on new kernel-induced distance measure," IEEE Trans. Syst., Man, Cybern., B, Cybern., vol. 34, no. 4, pp. 1907-1916, Aug. 2004.
-
(2004)
IEEE Trans. Syst., Man, Cybern., B, Cybern.
, vol.34
, Issue.4
, pp. 1907-1916
-
-
Chen, S.1
Zhang, D.2
-
10
-
-
1542272476
-
MR brain image segmentation using an enhanced fuzzy C-means algorithm
-
Nov.
-
L. Szilagyi, Z. Benyo, S. Szilagyii, and H. Adam, "MR brain image segmentation using an enhanced fuzzy C-means algorithm," in Proc. 25th Annu. Int. Conf. IEEE EMBS, Nov. 2003, pp. 17-21.
-
(2003)
Proc. 25th Annu. Int. Conf. IEEE EMBS
, pp. 17-21
-
-
Szilagyi, L.1
Benyo, Z.2
Szilagyii, S.3
Adam, H.4
-
11
-
-
33750512945
-
Fast and robust fuzzy c-means clustering algorithms incorporating local information for image segmentation
-
DOI 10.1016/j.patcog.2006.07.011, PII S0031320306003451
-
W. Cai, S. Chen, and D. Zhang, "Fast and robust fuzzy C-means clustering algorithms incorporating local information for image segmentation," Pattern Recognit., vol. 40, no. 3, pp. 825-838, Mar. 2007. (Pubitemid 44667762)
-
(2007)
Pattern Recognition
, vol.40
, Issue.3
, pp. 825-838
-
-
Cai, W.1
Chen, S.2
Zhang, D.3
-
12
-
-
84859060840
-
Change detection in synthetic aperture radar images based on image fusion and fuzzy clustering
-
Ar
-
M. Gong, Z. Zhou, and J. Ma, "Change detection in synthetic aperture radar images based on image fusion and fuzzy clustering," IEEE Trans. Image Process., vol. 21, no. 4, pp. 2141-2151, Apr. 2012.
-
(2012)
IEEE Trans. Image Process.
, vol.21
, Issue.4
, pp. 2141-2151
-
-
Gong, M.1
Zhou, Z.2
Ma, J.3
-
14
-
-
79551627018
-
A kernel fuzzy C-means clustering-based fuzzy support vector machine algorithm for classification problems with outliers or noises
-
Feb
-
X. Yang and G. Zhang, "A kernel fuzzy C-means clustering-based fuzzy support vector machine algorithm for classification problems with outliers or noises," IEEE Trans. Fuzzy Syst., vol. 19, no. 1, pp. 105-115, Feb. 2011.
-
(2011)
IEEE Trans. Fuzzy Syst.
, vol.19
, Issue.1
, pp. 105-115
-
-
Yang, X.1
Zhang, G.2
-
15
-
-
84898984897
-
Nonlinear discriminant analysis using kernel functions
-
S. A Solla, T. K. Leen, and K.-R. Muller, Eds. Cambridge, MA: MIT Press
-
V. Roth and V. Steinhage, "Nonlinear discriminant analysis using kernel functions," in Advances in Neural Information Processing Systems 12, S. A Solla, T. K. Leen, and K.-R. Muller, Eds. Cambridge, MA: MIT Press, 2000, pp. 568-574.
-
(2000)
Advances in Neural Information Processing Systems 12
, pp. 568-574
-
-
Roth, V.1
Steinhage, V.2
-
16
-
-
0347243182
-
Nonlinear Component Analysis as a Kernel Eigenvalue Problem
-
B. Scholkopf, A. J. Smola, and K. R. Muller, "Nonlinear component analysis as a kernel eigenvalue problem," Neural Comput., vol. 10, no. 5, pp. 1299-1319, 1998. (Pubitemid 128463674)
-
(1998)
Neural Computation
, vol.10
, Issue.5
, pp. 1299-1319
-
-
Scholkopf, B.1
Smola, A.2
Muller, K.-R.3
-
17
-
-
0036779072
-
Alternative c-means clustering algorithms
-
DOI 10.1016/S0031-3203(01)00197-2, PII S0031320301001972
-
K. Wu and M. Yang, "Alternative C-means clustering algorithms," Pattern Recognit., vol. 35, no. 10, pp. 2267-2278, 2002. (Pubitemid 34812877)
-
(2002)
Pattern Recognition
, vol.35
, Issue.10
, pp. 2267-2278
-
-
Wu, K.-L.1
Yang, M.-S.2
-
18
-
-
80052892041
-
A multiple-kernel fuzzy C-means algorithm for image segmentation
-
Oct
-
L. Chen, C. Chen, and M. Lu, "A multiple-kernel fuzzy C-means algorithm for image segmentation," IEEE Trans. Syst., Man, Cybern., B, Cybern., vol. 41, no. 5, pp. 1263-1274, Oct. 2011.
-
(2011)
IEEE Trans. Syst., Man, Cybern., B, Cybern.
, vol.41
, Issue.5
, pp. 1263-1274
-
-
Chen, L.1
Chen, C.2
Lu, M.3
-
19
-
-
80053085247
-
Speedup of fuzzy and possibilistic kernel C-means for large-scale clustering
-
Jun.
-
T. C. Havens, R. Chitta, A. K. Jain, and J. Rong, "Speedup of fuzzy and possibilistic kernel C-means for large-scale clustering," in Proc. IEEE Int. Conf. Fuzzy Syst., Jun. 2011, pp. 463-470.
-
(2011)
Proc. IEEE Int. Conf. Fuzzy Syst
, pp. 463-470
-
-
Havens, T.C.1
Chitta, R.2
Jain, A.K.3
Rong, J.4
-
20
-
-
79953039728
-
Fuzzy C-means based clustering for linearly and nonlinearly separable data
-
D. Tsai and C. Lin, "Fuzzy C-means based clustering for linearly and nonlinearly separable data," Pattern Recognit., vol. 44, no. 8, pp. 1750-1760, 2011.
-
(2011)
Pattern Recognit.
, vol.44
, Issue.8
, pp. 1750-1760
-
-
Tsai, D.1
Lin, C.2
-
21
-
-
1542315495
-
Kernel-based fuzzy clustering incorporating spatial constraints for image segmentation
-
Oct.
-
D. Zhang and S. Chen, "Kernel-based fuzzy clustering incorporating spatial constraints for image segmentation," in Proc. IEEE 2nd Annu. Int. Conf. Mach. Learn. Cybern., Oct. 2003, pp. 2189-2192.
-
(2003)
Proc. IEEE 2nd Annu. Int. Conf. Mach. Learn. Cybern
, pp. 2189-2192
-
-
Zhang, D.1
Chen, S.2
-
22
-
-
0034298140
-
Generalized fuzzy C-means clustering strategies using norm distances
-
Oct
-
R. Hathaway, J. C. Bezdek, and Y. Hu, "Generalized fuzzy C-means clustering strategies using norm distances," IEEE Trans. Fuzzy Syst., vol. 8, no. 5, pp. 576-581, Oct. 2000.
-
(2000)
IEEE Trans. Fuzzy Syst.
, vol.8
, Issue.5
, pp. 576-581
-
-
Hathaway, R.1
Bezdek, J.C.2
Hu, Y.3
-
23
-
-
84872123969
-
Hybrid fuzzy clustering using LP norms
-
T. Przybyla, J. Jezewski, K. Horoba, and D. Roj, "Hybrid fuzzy clustering using LP norms," in Proc. 3rd Int. Conf. Intell. Inf. Database Syst., 2011, pp. 187-196.
-
(2011)
Proc. 3rd Int. Conf. Intell. Inf. Database Syst.
, pp. 187-196
-
-
Przybyla, T.1
Jezewski, J.2
Horoba, K.3
Roj, D.4
-
24
-
-
0035272287
-
An introduction to kernel-based learning algorithms
-
Mar
-
K. R. Muller, S. Mika, G. Ratsch, K. Tsuda, and B. Scholkopf, "An introduction to kernel-based learning algorithms," IEEE Trans. Neural Netw., vol. 12, no. 2, pp. 181-202, Mar. 2001.
-
(2001)
IEEE Trans. Neural Netw.
, vol.12
, Issue.2
, pp. 181-202
-
-
Muller, K.R.1
Mika, S.2
Ratsch, G.3
Tsuda, K.4
Scholkopf, B.5
-
25
-
-
0742286179
-
Spectral grouping using the Nystrom method
-
Feb
-
C. Fowlkes, S. Belongie, F. Chung, and J. Malik, "Spectral grouping using the Nystrom method," IEEE Trans. Pattern Anal. Mach. Intell., vol. 26, no. 2, pp. 1-12, Feb. 2004.
-
(2004)
IEEE Trans. Pattern Anal. Mach. Intell.
, vol.26
, Issue.2
, pp. 1-12
-
-
Fowlkes, C.1
Belongie, S.2
Chung, F.3
Malik, J.4
-
26
-
-
0032932780
-
A fuzzy clustering based segmentation system as support to diagnosis in medical imaging
-
DOI 10.1016/S0933-3657(98)00069-4, PII S0933365798000694
-
F. Masulli and A. Schenone, "A fuzzy clustering based segmentation system as support to diagnosis in medical imaging," Artif. Intell. Med., vol. 16, no. 2, pp. 129-147, 1999. (Pubitemid 29236496)
-
(1999)
Artificial Intelligence in Medicine
, vol.16
, Issue.2
, pp. 129-147
-
-
Masulli, F.1
Schenone, A.2
-
27
-
-
78650920788
-
A novel fuzzy clustering algorithm with non local adaptive spatial constraint for image segmentation
-
F. Zhao, L. Jiao, H. Liu, and X. Gao, "A novel fuzzy clustering algorithm with non local adaptive spatial constraint for image segmentation," Signal Process., vol. 91, no. 4, pp. 988-999, 2011.
-
(2011)
Signal Process.
, vol.91
, Issue.4
, pp. 988-999
-
-
Zhao, F.1
Jiao, L.2
Liu, H.3
Gao, X.4
-
28
-
-
0003853563
-
-
MathWorks. Natick MA
-
MathWorks. (2011). Image Processing Toolbox, Natick, MA [Online]. Available: http://www.mathworks.com/matlabcentral/fileexchange/14237
-
(2011)
Image Processing Toolbox
-
-
-
30
-
-
8844263763
-
An entropy-based objective evaluation method for image segmentation
-
Jan.
-
H. Zhang, J. Fritts, and S. Goldman, "An entropy-based objective evaluation method for image segmentation," Proc. SPIE, Storage Retrieval Methods Appl. Multimedia, vol. 5307, pp. 38-49, Jan. 2004.
-
(2004)
Proc. SPIE, Storage Retrieval Methods Appl. Multimedia
, vol.5307
, pp. 38-49
-
-
Zhang, H.1
Fritts, J.2
Goldman, S.3
|