[1] Viola P,Jones M.Fast and robust classification using asymmetric AdaBoost and a detector cascade[A].Advances in Neural Information Processing System 14[C].Cambridge,MA:MIT Press,2002.1311-1318.
[2] Polikar R.Learn++:an incremental learning algorithm for supervised neural networks[J].IEEE Transactions on Systems,Man,and Cybernetics,Part C:Applications and Reviews,Nov,2001,31(4):497-508.
[3] Oza N,Russell S.Online bagging and boosting[A].Proceedings of the 8th International Conference on Artificial Intelligence and Statistics[C].Florida,USA:Morgan Kaufmann Publishers,2001.105-112.
[4] Grabner H,Bischof H.On-line boosting and vision[A].Proceedings of the 19th IEEE Conference on Computer Vision and Pattern Recognition[C]. New York City,USA:IEEE Press,2006. 260-267.
[5] Zeisl B, Leistner C,Saffari A, Bischof H.On-line semi-supervised multiple-instance boostin[A].Proceedings of the 23th IEEE Conference on Computer Vision and Pattern Recognition[C].San Francisco,USA:IEEE Press,2010.1879-1887.
[6] Chen S T,Lin H T,Lu C J.Boosting with online binary learners for the multiclass bandit problem[A].Proceedings of The 31st International Conference on Machine Learning[C].Beijing,China:IEEE Press,2014.342-350.
[7] QI Z Q,XU Y T,WANG L S.Online multiple instance boosting for object detection[J].Neurocomputing,2011,74(10):1769-1775.
[8] Mustafa Ö,Michael C,Vincent L,Pascal F.Fast keypoint recognition using random ferns[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2010,32(3):448-461.
[9] Roth P,Grabner H,Skocaj D,Bischof,H,Leonardis A.On-line conservative learning for persondetection[A].Proceedings of 2nd Joint IEEE International Workshop on Visual Surveillance and Performance Evaluation of Tracking and Surveillance[C].Beijing,China:IEEE Press,2005.223-230.
[10] Skocaj D,Leonardis A.Weighted and robust incremental method for subspace learning[A].Proceedings of the 16th IEEE International Conference on Computer Vision[C].Nice,France:IEEE Press,2003.1494-1501.
[11] Chen K,Wang S.Semi-supervised learning via regularized boosting working on multiple semi-supervised assumptions[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2011,33(1):129-143.
[12] Kalal Z,Mikolajczyk K,Matas J.Tracking-learning-detection[J].Pattern Analysis and Machine Intelligence,2011,34(7):1409-1422.
[13] Muhammad A T,Jim E S.Improving nearest neighbor classifier using tabu search and ensemble distance metrics[A].Proceedings of the 6th IEEE International Conference on Data Mining[C].Hong Kong,China:IEEE Press,2006.18-22.
[14] Leistner C,Godec M,Schulter S,Saffari A,Werlberger M,Bischof H.Improving classifiers with unlabeled weakly-related videos[A].Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition[C].Colorado Springs,USA:IEEE Press, 2011.2753-2760.
[15] Domingos P,Michael P.On the optimality of the simple Bayesian classifier under zero-one loss[J].Machine Learning,1997,29(2-3):103-137.
[16] Rennie J,Shih L,Teevan J,Karger D.Tackling the poor assumptions of naive bayes classifiers[A].Proceedings of the 20th International Conference on Machine Learning[C].Washington DC,USA:IEEE Press,2003.616-623.
[17] 罗大鹏,罗林波,桑农.可在线学习的视频目标检测系统[J].信号处理,2013,29(5):615-624. Luo D P,Luo L B,Sang N.Video object detection system with the capacity of onlinelearning[J].Signal Processing,2013,29(5):615-624.(in Chinese) |