Mean field annealing using compound Gauss-Markov random fields for edge detection and image estimation
暂无分享,去创建一个
[1] Rama Chellappa,et al. Pyramid implementation of optimal-step conjugate-search algorithms for some low-level vision problems , 1989, IEEE Trans. Syst. Man Cybern..
[2] Federico Girosi,et al. Parallel and deterministic algorithms from MRFs: surface reconstruction and integration , 1990, ECCV.
[3] Wesley E. Snyder,et al. Restoration of piecewise constant images by mean-field annealing , 1989 .
[4] John W. Woods,et al. Compound Gauss-Markov random fields for image estimation , 1991, IEEE Trans. Signal Process..
[5] Tomaso Poggio,et al. Probabilistic Solution of Ill-Posed Problems in Computational Vision , 1987 .
[6] C. Campell,et al. Statistical mechanics and neural networks , 1989 .
[7] Wesley E. Snyder,et al. Mean field annealing: a formalism for constructing GNC-like algorithms , 1992, IEEE Trans. Neural Networks.
[8] J. Besag. Spatial Interaction and the Statistical Analysis of Lattice Systems , 1974 .
[9] John W. Woods,et al. Simulated annealing in compound Gaussian random fields , 1990, IEEE Trans. Inf. Theory.
[10] Nikitas J. Dimopoulos,et al. PARALLEL ALGORITHMS FOR LOW-LEVEL VISION ON , 1994 .
[11] Rama Chellappa,et al. A model-based approach for estimation of two-dimensional maximum entropy power spectra , 1985, IEEE Trans. Inf. Theory.
[12] Anand Rangarajan,et al. Generalized graduated nonconvexity algorithm for maximum a posteriori image estimation , 1990, [1990] Proceedings. 10th International Conference on Pattern Recognition.
[13] John W. Woods,et al. Two-dimensional discrete Markovian fields , 1972, IEEE Trans. Inf. Theory.
[14] C Koch,et al. Analog "neuronal" networks in early vision. , 1986, Proceedings of the National Academy of Sciences of the United States of America.
[15] Andrew Blake,et al. Visual Reconstruction , 1987, Deep Learning for EEG-Based Brain–Computer Interfaces.
[16] Heinrich H. Bülthoff,et al. Stereo Integration, Mean Field Theory and Psychophysics , 1990, ECCV.
[17] J. Laurie Snell,et al. Markov Random Fields and Their Applications , 1980 .
[18] Josiane Zerubia,et al. Mean field approximation using compound Gauss-Markov random field for edge detection and image restoration , 1990, International Conference on Acoustics, Speech, and Signal Processing.
[19] Donald Geman,et al. Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images , 1984, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[20] C. D. Gelatt,et al. Optimization by Simulated Annealing , 1983, Science.
[21] R. Chellappa,et al. On two-dimensional Markov spectral estimation , 1983 .
[22] John G. Harris,et al. Generalized smoothing networks in early vision , 1989, Proceedings CVPR '89: IEEE Computer Society Conference on Computer Vision and Pattern Recognition.