Learning to Count with Back-propagated Information
暂无分享,去创建一个
[1] Nuno Vasconcelos,et al. Privacy preserving crowd monitoring: Counting people without people models or tracking , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[2] Binghuang Cai,et al. Common Nature of Learning Exemplified by BP and Hopfield Neural Networks for Solving Online a System of Linear Equations , 2008, 2008 IEEE International Conference on Networking, Sensing and Control.
[3] Heng Yang,et al. Privileged information-based conditional regression forest for facial feature detection , 2013, 2013 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG).
[4] Ramakant Nevatia,et al. Segmentation and Tracking of Multiple Humans in Crowded Environments , 2008, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[5] Serge J. Belongie,et al. Counting Crowded Moving Objects , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).
[6] Robert M. Haralick,et al. Textural Features for Image Classification , 1973, IEEE Trans. Syst. Man Cybern..
[7] Sridha Sridharan,et al. Crowd Counting Using Multiple Local Features , 2009, 2009 Digital Image Computing: Techniques and Applications.
[8] SITI MERIAM ZAHARI,et al. Weighted Ridge MM-Estimator in Robust Ridge Regression with Multicollinearity , 2012 .
[9] Yi-Ping Hung,et al. Ordinal hyperplanes ranker with cost sensitivities for age estimation , 2011, CVPR 2011.
[10] Yang Wang,et al. Cost-sensitive boosting for classification of imbalanced data , 2007, Pattern Recognit..
[11] Zhi-Hua Zhou,et al. Automatic Age Estimation Based on Facial Aging Patterns , 2007, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[12] Tieniu Tan,et al. Estimating the number of people in crowded scenes by MID based foreground segmentation and head-shoulder detection , 2008, 2008 19th International Conference on Pattern Recognition.
[13] Roberto Cipolla,et al. Unsupervised Bayesian Detection of Independent Motion in Crowds , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).
[14] Christoph H. Lampert,et al. Learning to Rank Using Privileged Information , 2013, 2013 IEEE International Conference on Computer Vision.
[15] Shaogang Gong,et al. Feature Mining for Localised Crowd Counting , 2012, BMVC.
[16] Yangsheng Xu,et al. Crowd Density Estimation Using Texture Analysis and Learning , 2006, 2006 IEEE International Conference on Robotics and Biomimetics.
[17] Andrew Zisserman,et al. Learning To Count Objects in Images , 2010, NIPS.
[18] Yi-Ping Hung,et al. 2010 International Conference on Pattern Recognition A RANKING APPROACH FOR HUMAN AGE ESTIMATION BASED ON FACE IMAGES , 2022 .
[19] Luciano da Fontoura Costa,et al. Estimating crowd density with Minkowski fractal dimension , 1999, 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258).
[20] Vladimir Vapnik,et al. A new learning paradigm: Learning using privileged information , 2009, Neural Networks.
[21] Lei Huang,et al. Crowd density analysis using co-occurrence texture features , 2010, 5th International Conference on Computer Sciences and Convergence Information Technology.
[22] Robert T. Collins,et al. Marked point processes for crowd counting , 2009, CVPR.
[23] John Langford,et al. Cost-sensitive learning by cost-proportionate example weighting , 2003, Third IEEE International Conference on Data Mining.
[24] Shaogang Gong,et al. Cumulative Attribute Space for Age and Crowd Density Estimation , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.
[25] P. Holland. Weighted Ridge Regression: Combining Ridge and Robust Regression Methods , 1973 .
[26] Shaogang Gong,et al. From Semi-supervised to Transfer Counting of Crowds , 2013, 2013 IEEE International Conference on Computer Vision.
[27] Nuno Vasconcelos,et al. Counting People With Low-Level Features and Bayesian Regression , 2012, IEEE Transactions on Image Processing.
[28] Ullrich Köthe,et al. Learning to count with regression forest and structured labels , 2012, Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012).
[29] Geoffrey E. Hinton,et al. Learning representations by back-propagating errors , 1986, Nature.