327 related articles for article (PubMed ID: 18276317)
1. Bayesian pixel classification using spatially variant finite mixtures and the generalized EM algorithm.
Sanjay-Gopal S; Hebert TJ
IEEE Trans Image Process; 1998; 7(7):1014-28. PubMed ID: 18276317
[TBL] [Abstract][Full Text] [Related]
2. A Bayesian framework for image segmentation with spatially varying mixtures.
Nikou C; Likas AC; Galatsanos NP
IEEE Trans Image Process; 2010 Sep; 19(9):2278-89. PubMed ID: 20378472
[TBL] [Abstract][Full Text] [Related]
3. Segmentation of textured images using a multiresolution Gaussian autoregressive model.
Comer ML; Delp EJ
IEEE Trans Image Process; 1999; 8(3):408-20. PubMed ID: 18262883
[TBL] [Abstract][Full Text] [Related]
4. The EM/MPM algorithm for segmentation of textured images: analysis and further experimental results.
Comer ML; Delp EJ
IEEE Trans Image Process; 2000; 9(10):1731-44. PubMed ID: 18262912
[TBL] [Abstract][Full Text] [Related]
5. Performance evaluation of finite normal mixture model-based image segmentation techniques.
Lei T; Udupa JK
IEEE Trans Image Process; 2003; 12(10):1153-69. PubMed ID: 18237884
[TBL] [Abstract][Full Text] [Related]
6. Attraction-repulsion expectation-maximization algorithm for image reconstruction and sensor field estimation.
Hong H; Schonfeld D
IEEE Trans Image Process; 2009 Sep; 18(9):2004-11. PubMed ID: 19502130
[TBL] [Abstract][Full Text] [Related]
7. TRUST-TECH-based expectation maximization for learning finite mixture models.
Reddy CK; Chiang HD; Rajaratnam B
IEEE Trans Pattern Anal Mach Intell; 2008 Jul; 30(7):1146-57. PubMed ID: 18550899
[TBL] [Abstract][Full Text] [Related]
8. Maximum-entropy expectation-maximization algorithm for image reconstruction and sensor field estimation.
Hong H; Schonfeld D
IEEE Trans Image Process; 2008 Jun; 17(6):897-907. PubMed ID: 18482885
[TBL] [Abstract][Full Text] [Related]
9. A generalized EM algorithm for 3-D Bayesian reconstruction from Poisson data using Gibbs priors.
Hebert T; Leahy R
IEEE Trans Med Imaging; 1989; 8(2):194-202. PubMed ID: 18230517
[TBL] [Abstract][Full Text] [Related]
10. Generalized competitive learning of gaussian mixture models.
Lu Z; Ip HH
IEEE Trans Syst Man Cybern B Cybern; 2009 Aug; 39(4):901-9. PubMed ID: 19362913
[TBL] [Abstract][Full Text] [Related]
11. Estimation of generalized mixtures and its application in image segmentation.
Delignon Y; Marzouki A; Pieczynski W
IEEE Trans Image Process; 1997; 6(10):1364-75. PubMed ID: 18282892
[TBL] [Abstract][Full Text] [Related]
12. Bayesian image reconstruction for improving detection performance of muon tomography.
Wang G; Schultz LJ; Qi J
IEEE Trans Image Process; 2009 May; 18(5):1080-9. PubMed ID: 19342340
[TBL] [Abstract][Full Text] [Related]
13. Automatic selection of ROIs in functional imaging using Gaussian mixture models.
Górriz JM; Lassl A; Ramírez J; Salas-Gonzalez D; Puntonet CG; Lang EW
Neurosci Lett; 2009 Aug; 460(2):108-11. PubMed ID: 19454303
[TBL] [Abstract][Full Text] [Related]
14. Bayesian inference on multiscale models for poisson intensity estimation: applications to photon-limited image denoising.
Lefkimmiatis S; Maragos P; Papandreou G
IEEE Trans Image Process; 2009 Aug; 18(8):1724-41. PubMed ID: 19414285
[TBL] [Abstract][Full Text] [Related]
15. Unsupervised image classification, segmentation, and enhancement using ICA mixture models.
Lee TW; Lewicki MS
IEEE Trans Image Process; 2002; 11(3):270-9. PubMed ID: 18244630
[TBL] [Abstract][Full Text] [Related]
16. ML parameter estimation for Markov random fields with applications to Bayesian tomography.
Saquib SS; Bouman CA; Sauer K
IEEE Trans Image Process; 1998; 7(7):1029-44. PubMed ID: 18276318
[TBL] [Abstract][Full Text] [Related]
17. Statistical regularization in linearized microwave imaging through MRF-based MAP estimation: hyperparameter estimation and image computation.
Pascazio V; Ferraiuolo G
IEEE Trans Image Process; 2003; 12(5):572-82. PubMed ID: 18237933
[TBL] [Abstract][Full Text] [Related]
18. Speckle noise reduction of medical ultrasound images in complex wavelet domain using mixture priors.
Rabbani H; Vafadust M; Abolmaesumi P; Gazor S
IEEE Trans Biomed Eng; 2008 Sep; 55(9):2152-60. PubMed ID: 18713684
[TBL] [Abstract][Full Text] [Related]
19. Efficient greedy learning of gaussian mixture models.
Verbeek JJ; Vlassis N; Kröse B
Neural Comput; 2003 Feb; 15(2):469-85. PubMed ID: 12590816
[TBL] [Abstract][Full Text] [Related]
20. A modified EM algorithm for estimation in generalized mixed models.
Steele BM
Biometrics; 1996 Dec; 52(4):1295-310. PubMed ID: 8962454
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
