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ECSQARU
2009
Springer
13 years 8 months ago
Different Representations of Fuzzy Vectors
Fuzzy vectors were introduced as a description of imprecise quantities whose uncertainty originates from vagueness, not from a probabilistic model. Support functions are a classica...
Jiuzhen Liang, Mirko Navara, Thomas Vetterlein
IVC
2007
94views more  IVC 2007»
13 years 4 months ago
Vector quantization and fuzzy ranks for image reconstruction
The problem of clustering is often addressed with techniques based on a Voronoi partition of the data space. Vector quantization is based on a similar principle, but it is a diffe...
Stefano Rovetta, Francesco Masulli
CORR
2010
Springer
151views Education» more  CORR 2010»
13 years 4 months ago
Fuzzy Ontology Representation using OWL 2
The need to deal with vague information in Semantic Web languages is rising in importance and, thus, calls for a standard way to represent such information. We may address this is...
Fernando Bobillo, Umberto Straccia
ICMCS
2009
IEEE
133views Multimedia» more  ICMCS 2009»
13 years 2 months ago
View indepedent human movement recognition from multi-view video exploiting a circular invariant posture representation
In this paper a novel method for view independent human movement representation and recognition, exploiting the rich information contained in multi-view videos, is proposed. The bi...
Nikolaos Gkalelis, Nikos Nikolaidis, Ioannis Pitas
FSS
2007
102views more  FSS 2007»
13 years 4 months ago
Extraction of fuzzy rules from support vector machines
The relationship between support vector machines (SVMs) and Takagi–Sugeno–Kang (TSK) fuzzy systems is shown. An exact representation of SVMs as TSK fuzzy systems is given for ...
Juan Luis Castro, L. D. Flores-Hidalgo, Carlos Jav...