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117
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CVPR
2010
IEEE
15 years 11 months ago
2010
IEEE
For object category recognition to scale beyond a small number of classes, it is important that algorithms be able to learn from a small amount of labeled data per additional clas...
142
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CVPR
2007
IEEE
16 years 5 months ago
2007
IEEE
Linear and affine subspaces are commonly used to describe appearance of objects under different lighting, viewpoint, articulation, and identity. A natural problem arising from the...
145
Voted
ECCV
1992
Springer
15 years 7 months ago
1992
Springer
A key problem in model-based object recognition is selection, namely, the problem of determining which regions in the image are likely to come from a single object. In this paper w...
130
Voted
ICPR
2008
IEEE
15 years 9 months ago
2008
IEEE
Training a classifier for object category recognition using images on the Internet is an attractive approach due to its scalability. However, a big challenge in this approach is ...
131
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ICCV
2005
IEEE
16 years 5 months ago
2005
IEEE
We have developed a two-phase generative / discriminative learning procedure for the recognition of classes of objects and concepts in outdoor scenes. Our method uses both multipl...