2100 search results - page 167 / 420 » Learning to rank on graphs |
180
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CVPR
1997
IEEE
16 years 8 months ago
1997
IEEE
We propose a new machine learning paradigm called Graph Transformer Networks that extends the applicability of gradient-based learning algorithms to systems composed of modules th...
180
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FOCM
2007
15 years 6 months ago
2007
We consider the regression problem and describe an algorithm approximating the regression function by estimators piecewise constant on the elements of an adaptive partition. The pa...
219
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ICML
2007
IEEE
16 years 7 months ago
2007
IEEE
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 ...
171
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CVPR
2010
IEEE
16 years 2 months ago
2010
IEEE
Graph matching is a classical problem in pattern recognition with many applications, particularly when the graphs are embedded in Euclidean spaces, as is often the case for comput...
193
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ECCV
2006
Springer
16 years 8 months ago
2006
Springer
Abstract. Bayesian inference provides a powerful framework to optimally integrate statistically learned prior knowledge into numerous computer vision algorithms. While the Bayesian...