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Biblio

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Filters: Author is Zoltan Kato  [Clear All Filters]
1996
Bayesian image classification using Markov random fields. IMAGE AND VISION COMPUTING. 1996;14(4):285-295.
Cellular Neural Network in Markov Random Field Image Segmentation. In: 1996 FOURTH IEEE INTERNATIONAL WORKSHOP ON CELLULAR NEURAL NETWORKS AND THEIR APPLICATIONS, PROCEEDINGS (CNNA-96). New York: Wiley - IEEE Press; 1996. 1. p. 139-144p.
A Hierarchical Markov Random Field Model and Multitemperature Annealing for Parallel Image Classification. GRAPHICAL MODELS AND IMAGE PROCESSING. 1996;58(1):18-37.
1995
DPA: a deterministic approach to the MAP problem. IEEE TRANSACTIONS ON IMAGE PROCESSING. 1995;4(9):1312-1314.
Unsupervised adaptive image segmentation. In: ICASSP-95. Piscataway: IEEE; 1995. 2. p. 2399-2402p.
Unsupervised parallel image classification using a hierarchical Markovian model. In: Proceedings of the 5th International Conference on Computer Vision. Piscataway: IEEE; 1995. 1. p. 169-174p.
1993
Bayesian Image Classification Using Markov Random Fields. In: Maximum Entropy and Bayesian Methods. Dordrecht; Boston; London: Kluwer Academic Publishers; 1993. 3. p. 375-382p.
Extraction d'information dans les images SPOT.; 1993.
A Hierarchical Markov Random Field Model and Multi-Temperature Annealing for Parallel Image Classification.; 1993.
A Hierarchical Markov Random Field Model for Image Classification. In: International Workshop on Image and Multidimensional Digital Signal Processing (IMDSP). IEEE Computer Soc. Pr.; 1993.
Multiscale Markov random field models for parallel image classification. In: Fourth International Conference on Computer Vision, ICCV 1993, Berlin, Germany, 11-14 May, 1993, Proceedings. Los Alamitos: IEEE; 1993. 2. p. 253-257p.
Parallel image classification using multiscale Markov random fields. In: ICASSP-93. New York: IEEE; 1993. 1. p. 137-140p.
1992
Image Classification Using Markov Random Fields with Two New Relaxation Methods.; 1992.
Satellite Image Classification Using a Modified Metropolis Dynamics. In: International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE Computer Soc. Pr.; 1992. 5. p. 573-576p.

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