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121
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ICML
2004
IEEE
16 years 3 months ago
2004
IEEE
In kernel methods, an interesting recent development seeks to learn a good kernel from empirical data automatically. In this paper, by regarding the transductive learning of the k...
108
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WG
1998
Springer
15 years 6 months ago
1998
Springer
Hierarchical decompositions of graphs are interesting for algorithmic purposes. There are several types of hierarchical decompositions. Tree decompositions are the best known ones....
103
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ICML
2000
IEEE
16 years 3 months ago
2000
IEEE
Although Bayesian model averaging is theoretically the optimal method for combining learned models, it has seen very little use in machine learning. In this paper we study its app...
119
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ECCV
2008
Springer
16 years 4 months ago
2008
Springer
Abstract. This paper describes a novel approach to recovering a parametric deformation that optimally registers one image to another. The method proceeds by constructing a global c...
108
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PPSN
2004
Springer
15 years 7 months ago
2004
Springer
Current Genetic Algorithms can efficiently address order-k separable problems, in which the order of the linkage is restricted to a low value k. Outside this class, there exist hie...