108 search results - page 14 / 22 » Segmentation as Selective Search for Object Recognition |
CVPR
2008
IEEE
14 years 1 months ago
2008
IEEE
Segmenting arbitrary unions of linear subspaces is an important tool for computer vision tasks such as motion and image segmentation, SfM or object recognition. We segment subspac...
GECCO
2007
Springer
14 years 1 months ago
2007
Springer
In many design tasks it is difficult to explicitly define an objective function. This paper uses machine learning to derive an objective in a feature space based on selected examp...
CIVR
2007
Springer
14 years 1 months ago
2007
Springer
Ensuring the uniqueness of trademark images and protecting their identities are the most important objectives for the trademark registration process. To prevent trademark infringe...
CVPR
2009
IEEE
15 years 2 months ago
2009
IEEE
Active learning strategies can be useful when manual labeling
effort is scarce, as they select the most informative
examples to be annotated first. However, for visual category
...
IBPRIA
2005
Springer
14 years 1 months ago
2005
Springer
Using Comaniciu et al.’s approach as a basis, [9], this paper presents a real-time tracking technique in which a multiple target model is used. The use of a multiple model shall ...