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Neural Network Based Texture Segmentation Using a Markov Random Field Model.

, , , and . ISNN (2), volume 3972 of Lecture Notes in Computer Science, page 652-660. Springer, (2006)

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Image interpolation using MLP neural network with phase compensation of wavelet coefficients., , and . Neural Comput. Appl., 18 (8): 967-977 (2009)Multiscale Bayesian texture segmentation using neural networks and Markov random fields., , and . Neural Comput. Appl., 18 (2): 141-155 (2009)Spatially adaptive denoising using mixture modeling of wavelet coefficients., and . VCIP, volume 5150 of Proceedings of SPIE, page 1612-1619. SPIE, (2003)Texture Segmentation Using SOM and Multi-scale Bayesian Estimation., , and . ISNN (2), volume 3972 of Lecture Notes in Computer Science, page 661-668. Springer, (2006)Texture Segmentation Using Neural Networks and Multi-scale Wavelet Features., , and . ICNC (2), volume 3611 of Lecture Notes in Computer Science, page 400-409. Springer, (2005)Investigation into dynamics of a rolling body-bearing-support system in a cold rolling stand. University of Technology Sydney, Australia, (2012)Texture Segmentation Using Statistical Characteristics of SOM and Multi-Scale Bayesian Estimation., , and . ICASSP (2), page 685-688. IEEE, (2006)Wavelet-based moving object segmentation using background registration technique., , and . SIP, page 82-86. IASTED/ACTA Press, (2007)Development of Neural Network Model to Solve the Routing Problem., , , and . NC, page 624-628. ICSC Academic Press, International Computer Science Conventions, Canada / Switzerland, (1998)Estimating hyperparameters of mixture prior using hypothesis-testing problem and its applications to Bayesian image denoising., , and . J. Electronic Imaging, 16 (4): 043015 (2007)