10 search results - page 1 / 2 » Weakly supervised discriminative localization and classifica... |
77
Voted
ICCV
2009
IEEE
16 years 2 months ago
2009
IEEE
Visual categorization problems, such as object classification or action recognition,
are increasingly often approached using a detection strategy: a classifier function
is first ...
ECCV
2008
Springer
15 years 11 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...
91
Voted
ECCV
2010
Springer
15 years 2 months ago
2010
Springer
Abstract. Object viewpoint classification aims at predicting an approximate 3D pose of objects in a scene and is receiving increasing attention. State-of-the-art approaches to view...
MM
2010
ACM
14 years 9 months ago
2010
ACM
This paper presents a supervised manifold learning model for dimensionality reduction in image and video classification tasks. Unlike most manifold learning models that emphasize ...
IJCAI
2003
14 years 11 months ago
2003
Bayesian network models are widely used for discriminative prediction tasks such as classification. Usually their parameters are determined using 'unsupervised' methods ...