20 search results - page 4 / 4 » Asymmetric boosting |
DAGM
2007
Springer
13 years 8 months ago
2007
Springer
Cascades of classifiers constitute an important architecture for fast object detection. While boosting of simple (weak) classifiers provides an established framework, the design of...
ACL
2006
13 years 6 months ago
2006
Several NLP tasks are characterized by asymmetric data where one class label NONE, signifying the absence of any structure (named entity, coreference, relation, etc.) dominates al...
ICASSP
2009
IEEE
13 years 8 months ago
2009
IEEE
We investigate how to effectively incorporate spatial structure information into histogram features for boosting visual classification performance motivated by recently proposed M...
KDD
2012
ACM
11 years 7 months ago
2012
ACM
Multi-label learning arises in many real-world tasks where an object is naturally associated with multiple concepts. It is well-accepted that, in order to achieve a good performan...
ASPLOS
2012
ACM
12 years 9 days ago
2012
ACM
The rise of multi-core processors has shifted performance efforts towards parallel programs. However, single-threaded code, whether from legacy programs or ones difficult to para...