1605 search results - page 2 / 321 » Metric Learning to Rank |
ICVS
2009
Springer
13 years 12 months ago
2009
Springer
An approach to target-based image retrieval is described based on on-line rank-based learning. User feedback obtained via interaction with 2D image layouts provides qualitative co...
COLING
2010
13 years 9 days ago
2010
Several researchers have proposed semi-supervised learning methods for adapting event extraction systems to new event types. This paper investigates two kinds of bootstrapping met...
ICCV
2009
IEEE
14 years 10 months ago
2009
IEEE
Image auto-annotation is an important open problem in
computer vision. For this task we propose TagProp, a discriminatively
trained nearest neighbor model. Tags of test
images a...
CIKM
2010
Springer
13 years 3 months ago
2010
Springer
We consider the problem of learning to rank relevant and novel documents so as to directly maximize a performance metric called Expected Global Utility (EGU), which has several de...
SODA
2007
ACM
13 years 6 months ago
2007
ACM
We study the problem of aggregating partial rankings. This problem is motivated by applications such as meta-searching and information retrieval, search engine spam fighting, e-c...