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» Opposite Fuzzy Sets with Applications in Image Processing
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JMIV
2002
172views more  JMIV 2002»
14 years 9 months ago
Grey-Scale Morphology Based on Fuzzy Logic
There exist several methods to extend binary morphology to grey-scale images. One of these methods is based on fuzzy logic and fuzzy set theory. Another approach starts from the c...
Ting-Quan Deng, Henk J. A. M. Heijmans
ESANN
2004
14 years 11 months ago
Convergence properties of a fuzzy ARTMAP network
FAMR (Fuzzy ARTMAP with Relevance factor) is a FAM (Fuzzy ARTMAP) neural network used for classification, probability estimation [3], [2], and function approximation [4]. FAMR uses...
Razvan Andonie, Lucian Sasu
ESANN
2007
14 years 11 months ago
How to process uncertainty in machine learning?
Uncertainty is a popular phenomenon in machine learning and a variety of methods to model uncertainty at different levels has been developed. The aim of this paper is to motivate ...
Barbara Hammer, Thomas Villmann
JACIII
2006
101views more  JACIII 2006»
14 years 9 months ago
Application of Fuzzy Inference Method in Printing Pressure State Expectation System
om which abstract features are extracted with image processing. The output of the system is the state of printing pressure, which is divided into 3 states: EXCESSIVE PRESSURE (EP),...
Jianping Jing, Yasufumi Takama, Toru Yamaguchi
ASIAMS
2007
IEEE
15 years 4 months ago
Rough-Fuzzy Granulation, Rough Entropy and Image Segmentation
This talk has two parts explaining the significance of Rough sets in granular computing in terms of rough set rules and in uncertainty handling in terms of lower and upper approxi...
Sankar K. Pal