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    ACIVS
    2010
    Springer
    310views Computer Vision» more  ACIVS 2010»
    Dynamic Facial Expression Recognition Using Boosted Component-Based Spatiotemporal Features and Multi-classifier Fusion
    13 years 5 months ago
    Dynamic Facial Expression Recognition Using Boosted Component-Based Spatiotemporal Features and Multi-classifier Fusion
    Download  www.ee.oulu.fi
    Xiaohua Huang, Guoying Zhao, Matti Pietikäine...
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    BMVC
    2010
    125views Computer Vision» more  BMVC 2010»
    Making a Shallow Network Deep: Growing a Tree from Decision Regions of a Boosting Classifier
    13 years 5 months ago
    Making a Shallow Network Deep: Growing a Tree from Decision Regions of a Boosting Classifier
    Download  www.iis.ee.ic.ac.uk
    Tae-Kyun Kim, Ignas Budvytis, Roberto Cipolla
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    ICCV
    2007
    IEEE
    195views Computer Vision» more  ICCV 2007»
    DynamicBoost: Boosting Time Series Generated by Dynamical Systems
    14 years 9 months ago
    DynamicBoost: Boosting Time Series Generated by Dynamical Systems
    Download  www.cis.jhu.edu
    Boosting is a remarkably simple and flexible classification algorithm with widespread applications in computer vision. However, the application of boosting to nonEuclidean, infini...
    René Vidal, Paolo Favaro
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    ICPR
    2006
    IEEE
    205views computer vision» more  ICPR 2006»
    Ent-Boost: Boosting Using Entropy Measure for Robust Object Detection
    14 years 8 months ago
    Ent-Boost: Boosting Using Entropy Measure for Robust Object Detection
    Download  satoh-lab.ex.nii.ac.jp
    Recently, boosting is used widely in object detection applications because of its impressive performance in both speed and accuracy. However, learning weak classifiers which is on...
    Duy-Dinh Le, Shin'ichi Satoh
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    CVPR
    2006
    IEEE
    245views Computer Vision» more  CVPR 2006»
    AdaBoost.MRF: Boosted Markov Random Forests and Application to Multilevel Activity Recognition
    14 years 9 months ago
    AdaBoost.MRF: Boosted Markov Random Forests and Application to Multilevel Activity Recognition
    Download  www.computing.edu.au
    Activity recognition is an important issue in building intelligent monitoring systems. We address the recognition of multilevel activities in this paper via a conditional Markov r...
    Tran The Truyen, Dinh Q. Phung, Svetha Venkatesh, ...
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