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ICPR '02 Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 4 - Volume 4
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IEEE Transactions on Pattern Analysis and Machine Intelligence
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Near Sets. Special Theory about Nearness of Objects
Fundamenta Informaticae - New Frontiers in Scientific Discovery - Commemorating the Life and Work of Zdzislaw Pawlak
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FBIT '07 Proceedings of the 2007 Frontiers in the Convergence of Bioscience and Information Technologies
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WIAMIS '08 Proceedings of the 2008 Ninth International Workshop on Image Analysis for Multimedia Interactive Services
Standard and Fuzzy Rough Entropy Clustering Algorithms in Image Segmentation
RSCTC '08 Proceedings of the 6th International Conference on Rough Sets and Current Trends in Computing
Maximum Class Separability for Rough-Fuzzy C-Means Based Brain MR Image Segmentation
Transactions on Rough Sets IX
A Wavelet Tour of Signal Processing, Third Edition: The Sparse Way
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Information Sciences: an International Journal
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RSFDGrC '07 Proceedings of the 11th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing
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KES '09 Proceedings of the 13th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems: Part II
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IEEE Transactions on Information Technology in Biomedicine - Special section on body sensor networks
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PSIVT'07 Proceedings of the 2nd Pacific Rim conference on Advances in image and video technology
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ICVS'08 Proceedings of the 6th international conference on Computer vision systems
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Transactions on Rough Sets V
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IEEE Transactions on Multimedia
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Transactions on Rough Sets XVI
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Transactions on Rough Sets XVI
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The problem considered in this paper is how to discern and compare similarities in perceptually indiscernible objects in visual rough sets that are disjoint. The solution to the problem stems from the introduction of probe functions, object description, near set theory, perceptual systems, and perceptual indiscernibility relations. This leads to a new form of image analysis.