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Searching for z kato or zoltan kato.
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70 citations found. Retrieving citations...

Context   Doc     21 (0):   Z. Kato, J. Zerubia, and M. Berthod, "Unsupervised parallel image classification using Markovian models," Pattern Recogn., vol. 32, pp. 591--604, 1999.

Context   Doc     10 (1):   Z. Kato, M. Berthod, and J. Zerubia, "A Hierarchical Markov Random Field Model and Multi-Temperature Annealing for Parallel Image Classification," Technical Report 1938.

Context   Doc     9 (1):   Zoltan Kato, Marc Berthod, and Josiane Zerubia. Multiscale Markov random field models for parallel image classification. In Proceedings International Conference on Computer Vision, pages 253--237, Berlin, Germany, May 1993.

Context   Doc     4 (0):   Z. Kato, M. Berthod, and J. Zerubia, "Parallel image classification using multiscale Markov random fields," in Proc. IEEE Int. Conf. Acoust., Speech, Signal Processing, vol. 5, Minneapolis, MN, Apr. 27--30, 1993, pp. 137--140.

Context   Doc     1 (2):   Z. Kato, T. Sziranyi, X. Ji, Z. Toth, and L. Czuni. Content-based image retrieval using stochastic paintbrush transformation. In Proceedings of ICIP, 2002.

Context   Doc     1 (0):   M. Berthod, Z. Kato, S. Yu, J. Zerubia: Bayesian image classification using Markov Random Fields. Image and Vision Computing 14 (1996) 285-295

Context   Doc     1 (0):   Kato, Z.: Bayesian Color Image segmentation using reversible jump Markov Chain Monte Carlo, CWI Research Report PNA-R9902, ISSN 1386-3711, (1999)

Context   Doc     1 (2):   M. Berthod, Z. Kato, S. Yu, J. Zerubia, Bayesian image classification using Markov random fields, Image and Vision Computing 14 (1996) 285--295.

Context   Doc     1 (0):   Z. Kato. Modlisation markoviennes multirsolutions en vision par ordinateur. Application la segmentation d'images SPOT. PhD thesis, Universit de Nice Sophia Antipolis, 1994. (in French and English).

Context   Doc     1 (3):   M. Berthod, Z. Kato, S. Yu, and J. Zerubia. Bayesian image classication using markov random elds. Image and Vision Computing, 14(4):285293, 1996.

Context   Doc     1 (0):   Z. Kato. iMultiresolution Markovian modeling for computer vision. Application to SPOT image segmentationj (in French and English). PhD thesis, Universit# de Nice-Sophia Antipolis, France, 1994.

Context   Doc     1 (0):   Szira nyi, T., Zerubia, J., Czu ni, L., Geldreich, D. & Kato, Z. (2000) Image Segmentation Using Markov Random Field Model in Fully Parallel Cellular Network

Context   Doc     1 (0):   H. Ito, A. Kato, Z. Nagy, K. Zeger, Zero capacity region of multidimensional run length constraints, Electr. J. Combinatorics, 6 (1999), R33.

Context   Doc     1 (0):   Z. Kato. Mod#lisations Markoviennes multir#solutions en vision par ordinateur. Appliction # la segmentation d'images SPOT. PhD thesis, L'universit# de Nice-Sophia Antipolis, 1994.

Context   Doc     1 (0):   Z. Kato, J. Zerubia and M. Berthod, "Satellite image classification using a modified Metropolis dynamics," Proc. IEEE Int'l Conf. on Acoust., Speech and Sig. Proc., vol. 3, pp. 573-576, San Francisco, CA, March 23-26, 1992.

Context   Doc     1 (0):   Z. KATO. Mod'elisation markovienne multir'esolution en vision par ordinateur. Application `a la segmentation d'images SPOT. Th`ese pr'epar'ee `a l'inria sophia antipolis - full english version, Universit'e de Nice - Sophia Antipolis, d'ecembre 1994.

Context   Doc     0 (1):   Z. Kato, T. C. Pong, and J. C. M. Lee, "Motion compensated color video classification using Markov random fields," in Proc. ACCV, R. Chin and T. C. Pong, Eds., Hong Kong, China, Jan. 1998, vol. I, pp. 738--745, Springer.

Context   Doc     0 (1):   Z. Kato, M. Berthod, J. Zerubia, and W. Pieczynski. Unsupervised Adaptive Image Segmentation. In ICASSP'95, Detroit, USA, May 1995.

Context   Doc     0 (3):   M. Berthod, Z. Kato, S. Yu, and J. Zerubia. iBayesian image classication using Markov random eldsj. Image and Vision Computing, 14(4):285293, 1996.


The numbers before each article are the number of citations (excluding self-citations), and the predicted number of self-citations. 70 citations were found, of which 14 were predicted to be self-citations. Self-citations are not included in the graph.

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