5606 search results - page 204 / 1122 » Randomization Techniques for Graphs. |
89
Voted
FLAIRS
2004
15 years 2 months ago
2004
In this work we present a novel approach to ensemble learning for regression models, by combining the ensemble generation technique of random subspace method with the ensemble int...
127
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ECCV
2002
Springer
16 years 2 months ago
2002
Springer
In the last few years, several new algorithms based on graph cuts have been developed to solve energy minimization problems in computer vision. Each of these techniques constructs...
144
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DIS
2007
Springer
15 years 4 months ago
2007
Springer
A geometric graph is a labeled graph whose vertices are points in the 2D plane with an isomorphism invariant under geometric transformations such as translation, rotation, and scal...
100
Voted
EDBT
2008
ACM
15 years 2 months ago
2008
ACM
New graph structures where node labels are members of hierarchically organized ontologies or taxonomies have become commonplace in different domains, e.g., life sciences. It is a ...
CORR
2008
Springer
15 years 25 days ago
2008
Springer
Graph transformation is concerned with the manipulation of graphs by means of rules. Graph grammars have been traditionally studied using techniques from category theory. In previ...