171 search results - page 32 / 35 » A Boosting Approach to Multiple Instance Learning |
ICCV
2011
IEEE
12 years 7 months ago
2011
IEEE
Recently, hashing based Approximate Nearest Neighbor (ANN) techniques have been attracting lots of attention in computer vision. The data-dependent hashing methods, e.g., Spectral...
ESANN
2006
13 years 9 months ago
2006
Random Forests were introduced by Breiman for feature (variable) selection and improved predictions for decision tree models. The resulting model is often superior to AdaBoost and ...
ACL
2011
12 years 11 months ago
2011
We present a novel approach to discovering relations and their instantiations from a collection of documents in a single domain. Our approach learns relation types by exploiting m...
ICRA
2006
IEEE
14 years 1 months ago
2006
IEEE
— In this paper, we consider the problem of exploring an unknown environment with a team of mobile robots. One of the key issues in multi-robot exploration is how to assign targe...
PAKDD
2001
ACM
14 years 3 days ago
2001
ACM
Information extraction (IE) from semi-structured Web documents is a critical issue for information integration systems on the Internet. Previous work in wrapper induction aim to so...