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KDD
2008
ACM
15 years 10 months ago
2008
ACM
The success of popular algorithms such as k-means clustering or nearest neighbor searches depend on the assumption that the underlying distance functions reflect domain-specific n...
ECML
2000
Springer
15 years 1 months ago
2000
Springer
In the present paper we propose a consistent way to integrate syntactical least general generalizations (lgg's) with semantic evaluation of the hypotheses. For this purpose we...
ACCV
2010
Springer
14 years 4 months ago
2010
Springer
This paper presents a new method for viewpoint invariant pedestrian recognition problem. We use a metric learning framework to obtain a robust metric for large margin nearest neigh...
ECML
2007
Springer
15 years 3 months ago
2007
Springer
The problem of learning metrics between structured data (strings, trees or graphs) has been the subject of various recent papers. With regard to the specific case of trees, some a...
ICRA
2010
IEEE
14 years 8 months ago
2010
IEEE
— Scan matching techniques have been widely used to compute the displacement of robots. This estimate is part of many algorithms addressing navigation and mapping. This paper add...