151 search results - page 3 / 31 » Efficient feature weighting methods for ranking |
CIKM
2000
Springer
13 years 9 months ago
2000
Springer
RankBoost is a recently proposed algorithm for learning ranking functions. It is simple to implement and has strong justifications from computational learning theory. We describe...
CIVR
2005
Springer
13 years 10 months ago
2005
Springer
It is now accepted that the most e ective video shot retrieval is based on indexing and retrieving clips using multiple, parallel modalities such as text-matching, image-matching a...
CLOR
2006
13 years 9 months ago
2006
We describe an approach to object retrieval which searches for and localizes all the occurrences of an object in a video, given a query image of the object. The object is represent...
EMNLP
2009
13 years 3 months ago
2009
This paper proposes a method that speeds up a classifier trained with many conjunctive features: combinations of (primitive) features. The key idea is to precompute as partial res...
ICCV
2003
IEEE
14 years 7 months ago
2003
IEEE
In this paper, we formulate the shape localization problem in the Bayesian framework. In the learning stage, we propose the Constrained RankBoost approach to model the likelihood ...