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» Local Classifier Weighting by Quadratic Programming
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TNN
2008
67views more  TNN 2008»
13 years 4 months ago
Local Classifier Weighting by Quadratic Programming
Hakan Cevikalp, Robi Polikar
GLOBECOM
2006
IEEE
13 years 11 months ago
Sensor Localization from WLS Optimization with Closed-form Gradient and Hessian
— A non-parametric, low-complexity algorithm for accurate and simultaneous localization of multiple sensors from scarce and imperfect ranging information is proposed. The techniq...
Giuseppe Destino, Giuseppe Thadeu Freitas de Abreu
ICIP
2009
IEEE
14 years 5 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...
ICML
2006
IEEE
14 years 5 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
BICOB
2010
Springer
13 years 2 months ago
Multiple Kernel Learning for Fold Recognition
Fold recognition is a key problem in computational biology that involves classifying protein sharing structural similarities into classes commonly known as "folds". Rece...
Huzefa Rangwala