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CVPR
2001
IEEE
14 years 7 months ago
2001
IEEE
We consider learning models for object recognition from examples. Our method is motivated by systems that use the Hausdorff distance as a shape comparison measure. Typically an ob...
ICPR
2006
IEEE
14 years 6 months ago
2006
IEEE
Most object recognition systems require large databases of real images for classifier training. To collect real images for this purpose is a difficult and expensive process. This ...
CVPR
2005
IEEE
14 years 7 months ago
2005
IEEE
We combine local texture features (PCA-SIFT), global features (shape context), and spatial features within a single multi-layer AdaBoost model of object class recognition. The fir...
CVPR
2006
IEEE
14 years 7 months ago
2006
IEEE
In this paper we propose an approach capable of simultaneous recognition and localization of multiple object classes using a generative model. A novel hierarchical representation ...
NIPS
2001
13 years 6 months ago
2001
We describe an algorithm for automatically learning discriminative components of objects with SVM classifiers. It is based on growing image parts by minimizing theoretical bounds ...