89 search results - page 6 / 18 » Margin-Based Active Learning for Structured Output Spaces |
EMNLP
2010
13 years 5 months ago
2010
Confidence-Weighted linear classifiers (CW) and its successors were shown to perform well on binary and multiclass NLP problems. In this paper we extend the CW approach for sequen...
CVPR
2010
IEEE
14 years 7 days ago
2010
IEEE
Learning the knowledge of scene structure and tracking a large number of targets are both active topics of computer vision in recent years, which plays a crucial role in surveilla...
IEEEICCI
2009
IEEE
13 years 5 months ago
2009
IEEE
Abstract-In this paper, we construct a neural-inspired computational model based on the representational capabilities of receptive fields. The proposed model, known as Shape Encodi...
AFPAC
2000
Springer
14 years 2 days ago
2000
Springer
Abstract. Most of the processing in vision today uses spatially invariant operations. This gives efficient and compact computing structures, with the conventional convenient separa...
JMLR
2012
11 years 10 months ago
2012
We consider the task of devising large-margin based surrogate losses for the learning to rank problem. In this learning to rank setting, the traditional hinge loss for structured ...