1427 search results - page 124 / 286 » Learning with Annotation Noise |
161
click to vote
CVPR
2008
IEEE
16 years 5 months ago
2008
IEEE
A novel approach to scene categorization is proposed. Similar to previous works of [11, 15, 3, 12], we introduce an intermediate space, based on a low dimensional semantic "t...
131
Voted
CVPR
2009
IEEE
16 years 11 months ago
2009
IEEE
Most modern computer vision systems for high-level
tasks, such as image classification, object recognition and
segmentation, are based on learning algorithms that are
able to se...
120
click to vote
ECML
2007
Springer
15 years 10 months ago
2007
Springer
When facing the question of learning languages in realistic settings, one has to tackle several problems that do not admit simple solutions. On the one hand, languages are usually...
152
Voted
ICAC
2006
IEEE
15 years 9 months ago
2006
IEEE
— As Internet worms become ever faster and more sophisticated, it is important to be able to extract worm signatures in an accurate and timely manner. In this paper, we apply mac...
114
Voted
ALT
2009
Springer
15 years 7 months ago
2009
Springer
Domain adaptation is a fundamental learning problem where one wishes to use labeled data from one or several source domains to learn a hypothesis performing well on a different, y...