976 search results - page 130 / 196 » Training of Support Vector Machines with Mahalanobis Kernels |
170
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JMLR
2011
15 years 25 days ago
2011
A multitask learning framework is developed for discriminative classification and regression where multiple large-margin linear classifiers are estimated for different predictio...
177
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CVPR
2008
IEEE
16 years 7 months ago
2008
IEEE
We present a novel structure learning method, Max Margin AND/OR Graph (MM-AOG), for parsing the human body into parts and recovering their poses. Our method represents the human b...
204
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CVPR
2009
IEEE
17 years 1 months ago
2009
IEEE
In an 2D echocardiogram exam, an ultrasound probe
samples the heart with 2D slices. Changing the orientation
and position on the probe changes the slice viewpoint, altering
the ...
206
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ESANN
2006
15 years 7 months ago
2006
Random Forests were introduced by Breiman for feature (variable) selection and improved predictions for decision tree models. The resulting model is often superior to AdaBoost and ...
177
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IJPRAI
2010
15 years 4 months ago
2010
: AUC-SVM directly maximizes the area under the ROC curve (AUC) through minimizing its hinge loss relaxation, and the decision function is determined by those support vector sample...