1197 search results - page 162 / 240 » Classification with partial labels |
PAMI
2011
13 years 4 months ago
2011
—Semi-supervised learning concerns the problem of learning in the presence of labeled and unlabeled data. Several boosting algorithms have been extended to semi-supervised learni...
KDD
2002
ACM
14 years 9 months ago
2002
ACM
Combining multiple classifiers is of particular interest in multimedia applications. Each modality in multimedia data can be analyzed individually, and combining multiple pieces of...
CVPR
2005
IEEE
14 years 11 months ago
2005
IEEE
Many approaches to object recognition are founded on probability theory, and can be broadly characterized as either generative or discriminative according to whether or not the di...
CVPR
2007
IEEE
14 years 11 months ago
2007
IEEE
We present an integrated framework for learning asymmetric boosted classifiers and online learning to address the problem of online learning asymmetric boosted classifiers, which ...
ICCV
2005
IEEE
14 years 11 months ago
2005
IEEE
This paper presents a probabilistic part-based approach for texture and object recognition. Textures are represented using a part dictionary found by quantizing the appearance of ...