712 search results - page 1 / 143 » Pruning Training Sets for Learning of Object Categories |
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
2006
IEEE
14 years 7 months ago
2006
IEEE
Suppose a set of images contains frequent occurrences of objects from an unknown category. This paper is aimed at simultaneously solving the following related problems: (1) unsupe...
ICCV
2003
IEEE
14 years 7 months ago
2003
IEEE
Learning visual models of object categories notoriously requires thousands of training examples; this is due to the diversity and richness of object appearance which requires mode...
CVPR
2006
IEEE
14 years 7 months ago
2006
IEEE
We present a method to automatically learn object categories from unlabeled images. Each image is represented by an unordered set of local features, and all sets are embedded into...
CVPR
2000
IEEE
14 years 7 months ago
2000
IEEE
We propose a method to learn heterogeneous models of object classes for visual recognition. The training images contain a preponderance of clutter and learning is unsupervised. Ou...