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[1] T. Zhang, Y. Xia, David D. Feng, “Hidden Markov random field model based brain MR image segmentation using clonal selection algorithm and Markov chain Monte Carlo method,” Biomedical Signal Processing and Control, Vol.12, Pages 10-18 ,2014 Sách, tạp chí
Tiêu đề: Hidden Markov random field model based brain MR image segmentation using clonal selection algorithm and Markov chain Monte Carlo method
[2] X. Zheng, Y. Wang, X. Zhao, “Fingerprint Image Segmentation Using Active Contour Model,” Fourth Inter. Conf. on Image and Graphics, pp. 437 – 441, Sichuan, CN, 2007 Sách, tạp chí
Tiêu đề: Fingerprint Image Segmentation Using Active Contour Model
[3] Blake C. Lucas, Michael Kazhdan, Russell H. Taylor “A Parallel Sparse-Field Algorithm for Image Segmentation,” Lecture Notes in Computer Science, Vol.7511, pp 404-412, 2012 Sách, tạp chí
Tiêu đề: A Parallel Sparse-Field Algorithm for Image Segmentation
[4] R. Malladi, J. Sethian, and B. Vemuri, “Shape modeling with front propagation: A level set approach,” IEEE Trans. on Pattern Analysis and Machine Intelligence, vol. 17, no. 2, pp. 158–175, 2002 Sách, tạp chí
Tiêu đề: Shape modeling with front propagation: A level set approach
[5] J. Shi and J. Malik, “Normalized cuts and image segmentation,” IEEE Trans. on Pattern Analysis and Machine Intelligence, vol. 22, no. 8, pp. 888–905, 2000 Sách, tạp chí
Tiêu đề: Normalized cuts and image segmentation
[6] Y. Boykov, O. Veksler, and R. Zabih, “Fast approximate energy minimization via graph cuts,” IEEE Trans. on Pattern Analysis and Machine Intelligence, vol. 23, no. 11, pp. 1222–1239, 2001 Sách, tạp chí
Tiêu đề: Fast approximate energy minimization via graph cuts
[7] X. Ning, A Narendra, and B. Ravi. “Object segmentation using graph cuts based active contours,” IEEE Comp. Vision and Pattern Recognition, vol. 2, pp. 46-53, 2003 Sách, tạp chí
Tiêu đề: Object segmentation using graph cuts based active contours
[8] D. Comaniciu and P. Meer, “Mean shift: A robust approach toward feature space analysis,” IEEE Trans. on Pattern Analysis and Machine Intelligence, vol. 24, no. 5, pp. 603–619, 2002 Sách, tạp chí
Tiêu đề: Mean shift: A robust approach toward feature space analysis
[10] Yin Yang, Xiaohu Guo, Jennell Vick, Luis Torres, Thomas Campbell, "Physics-Based Deformable Tongue Visualization", IEEE Trans. on Visualization and Computer Graphics, vol.19, no.5, pp.811-823, 2013 Sách, tạp chí
Tiêu đề: Physics-Based Deformable Tongue Visualization
[11] X. Huang, D. Metaxas, and T. Chen, “Metamorphs: Deformable shape and texture models,” IEEE Computer Vision and Pattern Recognition, vol. 1, pp.496–503, 2004 Sách, tạp chí
Tiêu đề: Metamorphs: Deformable shape and texture models
[12] L. A. Vese and T. F. Chan, “Active contours without edges,” IEEE Trans. on Image Processing, vol. 10, no. 2 pp. 266–277, 2001 Sách, tạp chí
Tiêu đề: Active contours without edges
[13] S. Zhu and A. Yuille, “Region Competition: Unifying snakes, region growing, and Bayes/MDL for multi-band image segmentation,” IEEE Trans. on Pattern Analysis and Machine Intelligence, vol. 18, no. 9, pp. 884–900, 2002 Sách, tạp chí
Tiêu đề: Region Competition: Unifying snakes, region growing, and Bayes/MDL for multi-band image segmentation
[14] S. Sanei and T. K. M. Lee, “A semi-supervised support vector machine for texture segmentation,” IEEE Image Processing, vol. 1, pp. 223–226, 2004 Sách, tạp chí
Tiêu đề: A semi-supervised support vector machine for texture segmentation
[15] D. Cristinacce and T.F. Cootes, "Boosted Regression Active Shape Models," 18th British Machine Vision Conf., Vol. 2, pp.880-889, Warwick, UK, 2007 Sách, tạp chí
Tiêu đề: Boosted Regression Active Shape Models
[16] G. Langs, P. Peloschek, H. Bischof. “Automatic Quantification of Joint Space Narrowing and Erosions in Rheumatoid Arthritis,” IEEE Trans. on Medical Imaging, vol. 28, no. 1, pp. 151–164, 2009 Sách, tạp chí
Tiêu đề: Automatic Quantification of Joint Space Narrowing and Erosions in Rheumatoid Arthritis
[17] R. Donner, M. Reiter, G. Langs. “Fast Active Appearance Model Search Using Canonical Correlation Analysis,” IEEE Trans. on Pattern Analysis and Machine Intelligence, pp. 1690 - 1694, 2006 Sách, tạp chí
Tiêu đề: Fast Active Appearance Model Search Using Canonical Correlation Analysis
[18] Robert Toth, Anant Madabhushi, "Multi-feature Landmark-Free Active Appearance Models: Application to Prostate MRI Segmentation," IEEE Transactions on Medical Imaging, vol. 31, pp. 1638 – 1650, 2012 Sách, tạp chí
Tiêu đề: Multi-feature Landmark-Free Active Appearance Models: Application to Prostate MRI Segmentation
[19] Y. Boers, J. N. Driessen, “Interacting multiple model particle filter,” IEEE Proceedings-Radar, Sonar and Navigation, vol. 150, no. 5, pp. 344-349, 2003 Sách, tạp chí
Tiêu đề: Interacting multiple model particle filter
[20] F. Govaers, A. Charlish, W. Koch, “Covariance debiasing for the Distributed Kalman Filter,” 16th Inter. Conf. on Infor. Fusion (FUSION), pp. 61-68, Istanbul, Turkey, 2013 Sách, tạp chí
Tiêu đề: Covariance debiasing for the Distributed Kalman Filter
[21] H. Guo, H. Chen, F. Xu, F. Wang, G. Lu, “Implementation of EKF for Vehicle Velocities Estimation on FPGA,” IEEE Trans. on Industrial Electronics, vol.60, no. 9, pp. 3823–3835, 2013 Sách, tạp chí
Tiêu đề: Implementation of EKF for Vehicle Velocities Estimation on FPGA

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