92 search results - page 6 / 19 » Boosting for Learning Multiple Classes with Imbalanced Class... |
ICCV
2009
IEEE
13 years 5 months ago
2009
IEEE
Multi-label learning is useful in visual object recognition when several objects are present in an image. Conventional approaches implement multi-label learning as a set of binary...
CVPR
2007
IEEE
14 years 9 months ago
2007
IEEE
We introduce an exemplar model that can learn and generate a region of interest around class instances in a training set, given only a set of images containing the visual class. T...
PAMI
2007
13 years 6 months ago
2007
—A probabilistic formulation for semantic image annotation and retrieval is proposed. Annotation and retrieval are posed as classification problems where each class is defined as...
PRL
2007
13 years 6 months ago
2007
Recently, boosting has come to be used widely in object-detection applications because of its impressive performance in both speed and accuracy. However, learning weak classifier...
ML
1998
ACM
13 years 7 months ago
1998
ACM
During a project examining the use of machine learning techniques for oil spill detection, we have encountered several essential questions that we believe deserve the attention of ...