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129
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IJCNN
2006
IEEE
15 years 11 months ago
2006
IEEE
— Recursive Neural Networks (RNNs) and Graph Neural Networks (GNNs) are two connectionist models that can directly process graphs. RNNs and GNNs exploit a similar processing fram...
166
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DBISP2P
2003
Springer
15 years 10 months ago
2003
Springer
Recently, a new family of massive self-organizing networks has emerged that not only serve as a communication infrastructure, but also mainly as a distributed query processing syst...
173
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ICASSP
2010
IEEE
15 years 5 months ago
2010
IEEE
Sparse representation theory has been increasingly used in the fields of signal processing and machine learning. The standard sparse models are not invariant to spatial transform...
146
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PRL
2006
15 years 4 months ago
2006
A wrapped feature selection process is proposed in the context of robust clustering based on Laplace mixture models. The clustering approach we consider is a generalization of the...
139
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CCE
2004
15 years 4 months ago
2004
Outliers are observations that do not follow the statistical distribution of the bulk of the data, and consequently may lead to erroneous results with respect to statistical analy...