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» Objective Functions for Feature Discrimination
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128
Voted
ICIP
2009
IEEE
16 years 3 months ago
Optimum Kernel Function Design From Scale Space Features For Object Detection
Scale-space representation of an image is a significant way to generate features for classification. However, for a specific classification task, the entire scale-space may not be...
152
Voted
NECO
2000
190views more  NECO 2000»
15 years 2 months ago
Generalized Discriminant Analysis Using a Kernel Approach
We present a new method that we call Generalized Discriminant Analysis (GDA) to deal with nonlinear discriminant analysis using kernel function operator. The underlying theory is ...
G. Baudat, Fatiha Anouar
73
Voted
PRL
2008
53views more  PRL 2008»
15 years 2 months ago
Selecting features for object detection using an AdaBoost-compatible evaluation function
Luka Fürst, Sanja Fidler, Ales Leonardis
119
Voted
CVPR
2007
IEEE
16 years 4 months ago
Eigenboosting: Combining Discriminative and Generative Information
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...
Helmut Grabner, Peter M. Roth, Horst Bischof
128
Voted
ICIP
2009
IEEE
15 years 15 days ago
Object tracking by bidirectional learning with feature selection
This paper proposes a new tracking algorithm which combines object and background information, via building object and background appearance models simultaneously by nonparametric...
Heng Wang, Xinwen Hou, Cheng-Lin Liu