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» Robust Classification with Context-Sensitive Features
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CVPR
2005
IEEE
14 years 9 months ago
Cross-Generalization: Learning Novel Classes from a Single Example by Feature Replacement
We develop an object classification method that can learn a novel class from a single training example. In this method, experience with already learned classes is used to facilita...
Evgeniy Bart, Shimon Ullman
ICCV
2009
IEEE
1419views Computer Vision» more  ICCV 2009»
15 years 18 days ago
On Feature Combination for Multiclass Object Classification
A key ingredient in the design of visual object classification systems is the identification of relevant class specific aspects while being robust to intra-class variations. Whil...
Peter Gehler, Sebastian Nowozin
CVPR
2010
IEEE
14 years 4 months ago
Robust Classification of Objects, Faces, and Flowers Using Natural Image Statistics
Classification of images in many category datasets has rapidly improved in recent years. However, systems that perform well on particular datasets typically have one or more lim...
Christopher Kanan, Garrison Cottrell
ECCV
2010
Springer
13 years 12 months ago
Hough Transform and 3D SURF for robust three dimensional classification
Most methods for the recognition of shape classes from 3D datasets focus on classifying clean, often manually generated models. However, 3D shapes obtained through acquisition tech...
ICML
2006
IEEE
14 years 8 months ago
Nightmare at test time: robust learning by feature deletion
When constructing a classifier from labeled data, it is important not to assign too much weight to any single input feature, in order to increase the robustness of the classifier....
Amir Globerson, Sam T. Roweis