Max-Margin Object Detection
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[1] R. Fletcher. Practical Methods of Optimization , 1988 .
[2] Piotr Indyk,et al. Approximate nearest neighbors: towards removing the curse of dimensionality , 1998, STOC '98.
[3] John C. Platt,et al. Fast training of support vector machines using sequential minimal optimization, advances in kernel methods , 1999 .
[4] Paul A. Viola,et al. Rapid object detection using a boosted cascade of simple features , 2001, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001.
[5] Derek R. Magee,et al. Detecting lameness using 'Re-sampling Condensation' and 'multi-stream cyclic hidden Markov models' , 2002, Image Vis. Comput..
[6] Thomas Hofmann,et al. Hidden Markov Support Vector Machines , 2003, ICML.
[7] Bill Triggs,et al. Histograms of oriented gradients for human detection , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
[8] Cordelia Schmid,et al. Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).
[9] Fatih Murat Porikli,et al. Human Detection via Classification on Riemannian Manifolds , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.
[10] Thorsten Joachims,et al. Training structural svms with kernels using sampled cuts , 2008, KDD.
[11] Christoph H. Lampert,et al. Learning to Localize Objects with Structured Output Regression , 2008, ECCV.
[12] Ramakant Nevatia,et al. Segmentation of multiple, partially occluded objects by grouping, merging, assigning part detection responses , 2008, CVPR.
[13] Davis E. King,et al. Dlib-ml: A Machine Learning Toolkit , 2009, J. Mach. Learn. Res..
[14] Thomas Hofmann,et al. Predicting structured objects with support vector machines , 2009, Commun. ACM.
[15] Shihong Lao,et al. Boosting Associated Pairing Comparison Features for pedestrian detection , 2009, 2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops.
[16] Larry S. Davis,et al. Human detection using partial least squares analysis , 2009, 2009 IEEE 12th International Conference on Computer Vision.
[17] Thorsten Joachims,et al. Cutting-plane training of structural SVMs , 2009, Machine Learning.
[18] Alexander J. Smola,et al. Bundle Methods for Regularized Risk Minimization , 2010, J. Mach. Learn. Res..
[19] Ramakant Nevatia,et al. High performance object detection by collaborative learning of Joint Ranking of Granules features , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[20] Erik Learned-Miller,et al. FDDB: A benchmark for face detection in unconstrained settings , 2010 .
[21] Horst Bischof,et al. Robust face detection by simple means , 2012 .
[22] Deva Ramanan,et al. Face detection, pose estimation, and landmark localization in the wild , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.