15 search results - page 2 / 3 » Learning defect classifiers for visual inspection images by ... |
ECCV
2008
Springer
14 years 6 months ago
2008
Springer
Learning visual classifiers for object recognition from weakly labeled data requires determining correspondence between image regions and semantic object classes. Most approaches u...
ECCV
2008
Springer
14 years 6 months ago
2008
Springer
Multiple Instance Learning (MIL) provides a framework for training a discriminative classifier from data with ambiguous labels. This framework is well suited for the task of learni...
CVPR
2004
IEEE
14 years 6 months ago
2004
IEEE
This paper gives an algorithm for detecting and reading text in natural images. The algorithm is intended for use by blind and visually impaired subjects walking through city scen...
CVPR
2007
IEEE
14 years 6 months ago
2007
IEEE
Current methods for learning visual categories work well when a large amount of labeled data is available, but can run into severe difficulties when the number of labeled examples...
ICPR
2010
IEEE
13 years 9 months ago
2010
IEEE
This paper presents a new algorithm based on boosting for interactive object retrieval in images. Recent works propose ”online boosting” algorithms where weak classifier sets...