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» Learning Boosted Asymmetric Classifiers for Object Detection
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PAMI
2007
210views more  PAMI 2007»
13 years 7 months ago
Sharing Visual Features for Multiclass and Multiview Object Detection
We consider the problem of detecting a large number of different classes of objects in cluttered scenes. Traditional approaches require applying a battery of different classifier...
Antonio Torralba, Kevin P. Murphy, William T. Free...
ICPR
2010
IEEE
13 years 6 months ago
Automatic Detection and Segmentation of Focal Liver Lesions in Contrast Enhanced CT Images
Abstract—In this paper a novel system for automatic detection and segmentation of focal liver lesions in CT images is presented. It utilizes a probabilistic boosting tree to clas...
Arne Militzer, Tobias Hager, Florian Jäger, Chris...
CVPR
2004
IEEE
14 years 9 months ago
Learning a Restricted Bayesian Network for Object Detection
Many classes of images have the characteristics of sparse structuring of statistical dependency and the presence of conditional independencies among various groups of variables. S...
Henry Schneiderman
GECCO
2006
Springer
171views Optimization» more  GECCO 2006»
13 years 11 months ago
Evolving ensemble of classifiers in random subspace
Various methods for ensemble selection and classifier combination have been designed to optimize the results of ensembles of classifiers. Genetic algorithm (GA) which uses the div...
Albert Hung-Ren Ko, Robert Sabourin, Alceu de Souz...
ICCV
2009
IEEE
15 years 15 days ago
Multiple Kernels for Object Detection
Our objective is to obtain a state-of-the art object category detector by employing a state-of-the-art image classifier to search for the object in all possible image subwindows....
Andrea Vedaldi, Varun Gulshan, Manik Varma, Andrew...