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IJCAI
2003
15 years 4 months ago
When Discriminative Learning of Bayesian Network Parameters Is Easy
Bayesian network models are widely used for discriminative prediction tasks such as classification. Usually their parameters are determined using 'unsupervised' methods ...
Hannes Wettig, Peter Grünwald, Teemu Roos, Pe...
FGR
2008
IEEE
254views Biometrics» more  FGR 2008»
15 years 4 months ago
Design sparse features for age estimation using hierarchical face model
A key point in automatic age estimation is to design feature set essential to age perception. To achieve this goal, this paper builds up a hierarchical graphical face model for fa...
Jin-Li Suo, Tianfu Wu, Song Chun Zhu, Shiguang Sha...
ICCV
2009
IEEE
1419views Computer Vision» more  ICCV 2009»
16 years 8 months 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
115
Voted
ICML
2005
IEEE
16 years 4 months ago
Closed-form dual perturb and combine for tree-based models
This paper studies the aggregation of predictions made by tree-based models for several perturbed versions of the attribute vector of a test case. A closed-form approximation of t...
Pierre Geurts, Louis Wehenkel
92
Voted
VTC
2008
IEEE
122views Communications» more  VTC 2008»
15 years 9 months ago
Propagation Path Loss Modeling in Container Terminal Environment
— This paper describes novel method of path loss modeling for radio communication channels in container port area. Multi-variate empirical model is presented, based on multidimen...
Ryszard J. Katulski, Jaroslaw Sadowski, Jacek Stef...