158 search results - page 14 / 32 » Community Learning by Graph Approximation |
176
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CVPR
2012
IEEE
13 years 6 months ago
2012
IEEE
A greedy-based approach to learn a compact and discriminative dictionary for sparse representation is presented. We propose an objective function consisting of two components: ent...
126
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IJCNN
2006
IEEE
15 years 10 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...
157
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WALCOM
2010
IEEE
15 years 2 months ago
2010
IEEE
In a distributed computing environment a faulty node could lead other nodes in the system to behave in a faulty manor. An initial set of faults could make all the nodes in the syst...
127
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ICANN
2007
Springer
15 years 10 months ago
2007
Springer
Abstract. Classification of structured data (i.e., data that are represented as graphs) is a topic of interest in the machine learning community. This paper presents a different,...
142
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IEEECIT
2009
IEEE
15 years 11 months ago
2009
IEEE
—Software clustering is a method for increasing software system understanding and maintenance. Software designers, first use MDG graph to model the structure of software system. ...