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PR
2006
127views more  PR 2006»
13 years 7 months ago
Unsupervised possibilistic clustering
In fuzzy clustering, the fuzzy c-means (FCM) clustering algorithm is the best known and used method. Since the FCM memberships do not always explain the degrees of belonging for t...
Miin-Shen Yang, Kuo-Lung Wu
FUZZY
1997
Springer
166views Fuzzy Logic» more  FUZZY 1997»
13 years 11 months ago
Optimizing Video Signal Processing Algorithms by Evolution Strategies
Today many kinds of postprocessing are used in digital TV receivers or multimedia terminals for video signals to enhance the picture quality. To achieve this the properties of hum...
H. Blume, O. Franzen, M. Schmidt
SIMPRA
2010
558views more  SIMPRA 2010»
13 years 5 months ago
Species abundance patterns in an ecosystem simulation studied through Fisher's logseries
We have developed an individual-based evolving predator-prey ecosystem simulation that integrates, for the first time, a complex individual behaviour model, an evolutionary mecha...
Didier Devaurs, Robin Gras
RSCTC
1993
Springer
96views Fuzzy Logic» more  RSCTC 1993»
13 years 11 months ago
Trusting an Information Agent
: While the common kinds of uncertainties in databases (e.g., null values, disjunction, corrupt/missing data, domain mismatch, etc.) have been extensively studied, a relatively une...
Hasan M. Jamil, Fereidoon Sadri
RSCTC
2000
Springer
126views Fuzzy Logic» more  RSCTC 2000»
13 years 11 months ago
Evolutionary Parsing for a Probabilistic Context Free Grammar
Abstract. Classic parsing methods are based on complete search techniques to find the different interpretations of a sentence. However, the size of the search space increases expon...
Lourdes Araujo