Decision Trees and Random Subwindows for Object Recognition
暂无分享,去创建一个
Raphaël Marée | Pierre Geurts | Louis Wehenkel | Justus Piater | J. Piater | P. Geurts | L. Wehenkel | R. Marée
[1] Cordelia Schmid,et al. A Comparison of Affine Region Detectors , 2005, International Journal of Computer Vision.
[2] Pierre Geurts,et al. Extremely randomized trees , 2006, Machine Learning.
[3] Pierre Geurts,et al. Contributions to decision tree induction: bias/variance tradeoff and time series classification , 2002 .
[4] Hiroshi Murase,et al. Visual learning and recognition of 3-d objects from appearance , 2005, International Journal of Computer Vision.
[5] Leo Breiman,et al. Bagging Predictors , 1996, Machine Learning.
[6] Raphaël Marée,et al. Random subwindows for robust image classification , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
[7] Louis Wehenkel,et al. Automatic Learning Techniques in Power Systems , 1997 .
[8] Leo Breiman,et al. Random Forests , 2001, Machine Learning.
[9] Stepán Obdrzálek,et al. Object recognition methods based on transformation covariant features , 2004, 2004 12th European Signal Processing Conference.
[10] Cordelia Schmid,et al. A performance evaluation of local descriptors , 2005, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[11] Yoav Freund,et al. Experiments with a New Boosting Algorithm , 1996, ICML.