227 search results - page 10 / 46 » Fitting a graph to vector data |
GBRPR
2009
Springer
15 years 4 months ago
2009
Springer
A universal data model, named DG, is introduced to handle vectorized data uniformly during the whole recognition process. The model supports low level graph algorithms as well as h...
131
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SDM
2008
SIAM
14 years 11 months ago
2008
SIAM
Graph data such as chemical compounds and XML documents are getting more common in many application domains. A main difficulty of graph data processing lies in the intrinsic high ...
KDD
2008
ACM
15 years 10 months ago
2008
ACM
Attributed graphs are increasingly more common in many application domains such as chemistry, biology and text processing. A central issue in graph mining is how to collect inform...
107
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WAW
2010
Springer
14 years 8 months ago
2010
Springer
We give algorithms for finding graph clusters and drawing graphs, highlighting local community structure within the context of a larger network. For a given graph G, we use the per...
145
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PAKDD
2011
ACM
14 years 29 days ago
2011
ACM
A structural similarity kernel is presented in this paper for SVM learning, especially for learning with imbalanced datasets. Kernels in SVM are usually pairwise, comparing the sim...