-
2
-
-
33744958803
-
Minimal weighted local variance as edge detector for active contour models
-
Narayanan P.J. (Ed), Springer-Verlag, Berlin, Heidelberg, New York
-
Law W.K., and Chum A.C.S. Minimal weighted local variance as edge detector for active contour models. In: Narayanan P.J. (Ed). Lecture Notes in Computer Science vol. 3851 (2006), Springer-Verlag, Berlin, Heidelberg, New York 622-632
-
(2006)
Lecture Notes in Computer Science
, vol.3851
, pp. 622-632
-
-
Law, W.K.1
Chum, A.C.S.2
-
3
-
-
24644441054
-
-
C.M. Li, C.Y. Xu, C.F. Gui, M.D. Fox, Level set evolution without re-initialization: a new variational formulation, in: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, vol. 1, 2005, pp. 430-436.
-
C.M. Li, C.Y. Xu, C.F. Gui, M.D. Fox, Level set evolution without re-initialization: a new variational formulation, in: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, vol. 1, 2005, pp. 430-436.
-
-
-
-
4
-
-
54249083767
-
-
M.O. Bergen, Towards dynamic adaptation of snake contours, in: Proceedings of the 6th International Conference on Image Analysis and Processing, Italy, 1991, pp. 47-54.
-
M.O. Bergen, Towards dynamic adaptation of snake contours, in: Proceedings of the 6th International Conference on Image Analysis and Processing, Italy, 1991, pp. 47-54.
-
-
-
-
8
-
-
44749084234
-
Fronts propagating with curvature dependent speed: algorithms based on Hamilton-Jacobi formulations
-
Osher S., and Sethian J.A. Fronts propagating with curvature dependent speed: algorithms based on Hamilton-Jacobi formulations. Journal of Computational Physics 79 (1988) 12-49
-
(1988)
Journal of Computational Physics
, vol.79
, pp. 12-49
-
-
Osher, S.1
Sethian, J.A.2
-
11
-
-
0036891794
-
A multiphase level set framework for image segmentation using the Mumford and Shah model
-
Vese L., and Chan T. A multiphase level set framework for image segmentation using the Mumford and Shah model. International Journal of Computer Vision 50 (2002) 271-293
-
(2002)
International Journal of Computer Vision
, vol.50
, pp. 271-293
-
-
Vese, L.1
Chan, T.2
-
12
-
-
84990602490
-
Optimal approximation by piecewise smooth functions and associated problems
-
Mumford D., and Shah J. Optimal approximation by piecewise smooth functions and associated problems. Communication Pure and Applied Mathematics. 42 (1989) 577-685
-
(1989)
Communication Pure and Applied Mathematics.
, vol.42
, pp. 577-685
-
-
Mumford, D.1
Shah, J.2
-
15
-
-
34249753618
-
Support vector networks
-
Cortes C., and Vapnik V. Support vector networks. Machine Learning 20 (1995) 273-297
-
(1995)
Machine Learning
, vol.20
, pp. 273-297
-
-
Cortes, C.1
Vapnik, V.2
-
16
-
-
0002660750
-
The support vector method of function estimation
-
Suykens J.A.K., and Vandewalle J. (Eds), Kluwer Academic Publishers, Boston
-
Vapnik V. The support vector method of function estimation. In: Suykens J.A.K., and Vandewalle J. (Eds). Nonlinear Modeling: Advanced Black-Box Techniques (1998), Kluwer Academic Publishers, Boston 55-85
-
(1998)
Nonlinear Modeling: Advanced Black-Box Techniques
, pp. 55-85
-
-
Vapnik, V.1
-
18
-
-
0037695279
-
-
World Scientific, Singapore
-
Suykens J.A.K., Van Gestel T., De Brabanter J., De Moor B., and Vandewalle J. Least Squares Support Vector Machines (2002), World Scientific, Singapore
-
(2002)
Least Squares Support Vector Machines
-
-
Suykens, J.A.K.1
Van Gestel, T.2
De Brabanter, J.3
De Moor, B.4
Vandewalle, J.5
-
19
-
-
0035181296
-
Optimal control by least squares support vector machines
-
Suykens J.A.K., Vandewalle J., and De Moor B. Optimal control by least squares support vector machines. Neural Networks 14 (2001) 23-25
-
(2001)
Neural Networks
, vol.14
, pp. 23-25
-
-
Suykens, J.A.K.1
Vandewalle, J.2
De Moor, B.3
-
21
-
-
2942560335
-
A new efficient SVM-based edge detection method
-
Zheng S., Liu J., and Tian J.W. A new efficient SVM-based edge detection method. Pattern Recognition Letters 25 10 (2004) 1143-1154
-
(2004)
Pattern Recognition Letters
, vol.25
, Issue.10
, pp. 1143-1154
-
-
Zheng, S.1
Liu, J.2
Tian, J.W.3
-
22
-
-
2542598464
-
Novel algorithm for image interpolation
-
Zheng S., Tian J.W., Liu J., and Xiong C.Y. Novel algorithm for image interpolation. Optical Engineering 43 4 (2004) 856-865
-
(2004)
Optical Engineering
, vol.43
, Issue.4
, pp. 856-865
-
-
Zheng, S.1
Tian, J.W.2
Liu, J.3
Xiong, C.Y.4
-
23
-
-
18644372399
-
Mapped least squares support vector regression
-
Zheng S., Sun Y.Q., Tian J.W., and Liu J. Mapped least squares support vector regression. International Journal of Pattern Recognition and Artificial Intelligence 19 3 (2005) 459-475
-
(2005)
International Journal of Pattern Recognition and Artificial Intelligence
, vol.19
, Issue.3
, pp. 459-475
-
-
Zheng, S.1
Sun, Y.Q.2
Tian, J.W.3
Liu, J.4
-
24
-
-
34347401837
-
Multisource image fusion method using support value transform
-
Zheng S., Shi W.Z., Liu J., Zhu G.X., and Tian J.W. Multisource image fusion method using support value transform. IEEE Transactions on Image Processing 16 7 (2007) 1831-1839
-
(2007)
IEEE Transactions on Image Processing
, vol.16
, Issue.7
, pp. 1831-1839
-
-
Zheng, S.1
Shi, W.Z.2
Liu, J.3
Zhu, G.X.4
Tian, J.W.5
-
25
-
-
0036825528
-
Weighted least squares support vector machines: robustness and sparse approximation
-
Suykens J.A.K., De Brabanter J., Lukas L., and Vandewalle J. Weighted least squares support vector machines: robustness and sparse approximation. Neurocomputing 48 (1999) 85-105
-
(1999)
Neurocomputing
, vol.48
, pp. 85-105
-
-
Suykens, J.A.K.1
De Brabanter, J.2
Lukas, L.3
Vandewalle, J.4
|