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» Hierarchical Clustering of a Mixture Model
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NN
1998
Springer
177views Neural Networks» more  NN 1998»
13 years 7 months ago
Soft vector quantization and the EM algorithm
The relation between hard c-means (HCM), fuzzy c-means (FCM), fuzzy learning vector quantization (FLVQ), soft competition scheme (SCS) of Yair et al. (1992) and probabilistic Gaus...
Ethem Alpaydin
WISE
2009
Springer
14 years 5 months ago
Formal Identification of Right-Grained Services for Service-Oriented Modeling
Identifying the right-grained services is important to lead the successful service orientation because it has a direct impact on two major goals: the composability of loosely-coupl...
Yukyong Kim, Kyung-Goo Doh
IJCNN
2006
IEEE
14 years 2 months ago
Complex Systems Modeling Using Scale-Free Highly-Clustered Echo State Network
— Inspired by the universal laws governing different kinds of complex networks, we propose a scale-free highlyclustered echo state network (SHESN). Different from echo state netw...
Zhidong Deng, Yi Zhang
ICIP
2003
IEEE
14 years 9 months ago
A semantic representation for image retrieval
Robust semantic labeling of image regions is a basic problem in representing and retrieving image/video content. We propose an SVM-MRF framework to model features and their spatia...
Lei Wang, B. S. Manjunath
BMCBI
2004
120views more  BMCBI 2004»
13 years 7 months ago
Clustering under the line graph transformation: application to reaction network
Background: Many real networks can be understood as two complementary networks with two kind of nodes. This is the case of metabolic networks where the first network has chemical ...
Jose C. Nacher, Nobuhisa Ueda, Takuji Yamada, Mino...