1658 search results - page 99 / 332 » Learning Unknown Graphs |
158
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KDD
2008
ACM
16 years 5 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...
300
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ECCV
2010
Springer
15 years 10 months ago
2010
Springer
Graph matching is an essential problem in computer vision and machine learning. In this paper, we introduce a random walk view on the problem and propose a robust graph matching al...
149
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FLAIRS
2008
15 years 7 months ago
2008
Spectral Graph Transducer(SGT) is one of the superior graph-based transductive learning methods for classification. As for the Spectral Graph Transducer algorithm, a good graph re...
147
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CVPR
2012
IEEE
13 years 7 months ago
2012
IEEE
The k-NN graph has played a central role in increasingly popular data-driven techniques for various learning and vision tasks; yet, finding an efficient and effective way to con...
130
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CORR
2010
Springer
15 years 4 months ago
2010
Springer
Abstract--Breadth First Search (BFS) and other graph traversal techniques are widely used for measuring large unknown graphs, such as online social networks. It has been empiricall...