644 search results - page 11 / 129 » Geometry-aware metric learning |
UAI
2003
13 years 9 months ago
2003
We consider the problem of learning a Riemannian metric associated with a given differentiable manifold and a set of points. Our approach to the problem involves choosing a metric...
COLING
2008
13 years 9 months ago
2008
The distance or similarity metric plays an important role in many natural language processing (NLP) tasks. Previous studies have demonstrated the effectiveness of a number of metr...
ECML
2007
Springer
14 years 1 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...
ACL
2007
13 years 9 months ago
2007
Many automatic evaluation metrics for machine translation (MT) rely on making comparisons to human translations, a resource that may not always be available. We present a method f...
ICASSP
2009
IEEE
14 years 2 months ago
2009
IEEE
This paper considers a method for learning a distance metric in a fingerprinting system which identifies a query content by measuring the distance between the fingerprint of th...