43 search results - page 2 / 9 » A Bayesian Approach to Unsupervised One-Shot Learning of Obj... |
CVPR
2005
IEEE
14 years 7 months ago
2005
IEEE
Training datasets for learning of object categories are often contaminated or imperfect. We explore an approach to automatically identify examples that are noisy or troublesome fo...
CVPR
2007
IEEE
14 years 7 months ago
2007
IEEE
This paper proposes a novel approach to constructing a hierarchical representation of visual input that aims to enable recognition and detection of a large number of object catego...
ICCV
2011
IEEE
12 years 5 months ago
2011
IEEE
Adapting the classifier trained on a source domain to recognize instances from a new target domain is an important problem that is receiving recent attention. In this paper, we p...
CVPR
2008
IEEE
14 years 7 months ago
2008
IEEE
We present a novel method for the discovery and detection of visual object categories based on decompositions using topic models. The approach is capable of learning a compact and...
CVPR
2010
IEEE
14 years 1 months ago
2010
IEEE
How can knowing about some categories help us to discover new ones in unlabeled images? Unsupervised visual category discovery is useful to mine for recurring objects without huma...