CVPR
2011
IEEE
12 years 12 months ago
2011
IEEE
We address the problem of finding deformation between two images for the purpose of recognizing objects. The challenge is that discriminative features are often transformation-va...
WACV
2005
IEEE
13 years 10 months ago
2005
IEEE
A number of recent systems for unsupervised featurebased learning of object models take advantage of cooccurrence: broadly, they search for clusters of discriminative features tha...
ACCV
2007
Springer
13 years 10 months ago
2007
Springer
AdaBoost is a practical method of real-time face detection, but abides by a crucial problem of overfitting for the big number of features used in a trained classifier due to the ...
CVPR
2007
IEEE
14 years 6 months ago
2007
IEEE
A major shortcoming of discriminative recognition and detection methods is their noise sensitivity, both during training and recognition. This may lead to very sensitive and britt...
CVPR
2004
IEEE
14 years 6 months ago
2004
IEEE
Linear Discriminant Analysis (LDA) is popular feature extraction technique for face recognition. However, it often suffers from the small sample size problem when dealing with the...