Feature Selection and Pedestrian Detection Based on Sparse Representation
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Weiming Shen | Tao Wang | Shaoming Pan | Yanwen Chong | Fei Ding | Shihong Yao | Yanwen Chong | Weiming Shen | S. Pan | Tao Wang | Shihong Yao | Fei Ding
[1] David A. McAllester,et al. Object Detection with Discriminatively Trained Part Based Models , 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[2] How-Lung Eng,et al. HOG-Based Descriptors on Rotation Invariant Human Detection , 2010, ACCV Workshops.
[3] Isabelle Guyon,et al. An Introduction to Variable and Feature Selection , 2003, J. Mach. Learn. Res..
[4] Shuicheng Yan,et al. Discriminative local binary patterns for human detection in personal album , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[5] Allen Y. Yang,et al. Robust Face Recognition via Sparse Representation , 2009, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[6] Greg Mori,et al. Detecting Pedestrians by Learning Shapelet Features , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.
[7] Hao Wang,et al. Online Feature Selection with Streaming Features , 2013, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[8] Paul A. Viola,et al. Robust Real-Time Face Detection , 2001, International Journal of Computer Vision.
[9] George Forman,et al. An Extensive Empirical Study of Feature Selection Metrics for Text Classification , 2003, J. Mach. Learn. Res..
[10] Matti Pietikäinen,et al. A comparative study of texture measures with classification based on featured distributions , 1996, Pattern Recognit..
[11] Guihua Zeng,et al. Description of interest regions with oriented local self-similarity , 2012 .
[12] Ramakant Nevatia,et al. Optimizing discrimination-efficiency tradeoff in integrating heterogeneous local features for object detection , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[13] Tong Zhang,et al. On the Consistency of Feature Selection using Greedy Least Squares Regression , 2009, J. Mach. Learn. Res..
[14] 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).
[15] Pietro Perona,et al. Pedestrian Detection: An Evaluation of the State of the Art , 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[16] G LoweDavid,et al. Distinctive Image Features from Scale-Invariant Keypoints , 2004 .
[17] Martin J. Wainwright,et al. High-dimensional Variable Selection with Sparse Random Projections: Measurement Sparsity and Statistical Efficiency , 2010, J. Mach. Learn. Res..
[18] Luc Van Gool,et al. Speeded-Up Robust Features (SURF) , 2008, Comput. Vis. Image Underst..
[19] Weiming Shen,et al. A new pedestrian detection method based on combined HOG and LSS features , 2015, Neurocomputing.
[20] Li Su,et al. A Combined Pedestrian Detection Method Based on Haar-Like Features and HOG Features , 2011, 2011 3rd International Workshop on Intelligent Systems and Applications.
[21] David A. McAllester,et al. Cascade object detection with deformable part models , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[22] 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.
[23] Bo Li,et al. Feature extraction using maximum variance sparse mapping , 2010, Neural Computing and Applications.
[24] Eli Shechtman,et al. Matching Local Self-Similarities across Images and Videos , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.
[25] Ron Kohavi,et al. Wrappers for Feature Subset Selection , 1997, Artif. Intell..
[26] Huan Liu,et al. Efficient Feature Selection via Analysis of Relevance and Redundancy , 2004, J. Mach. Learn. Res..
[27] S. Frick,et al. Compressed Sensing , 2014, Computer Vision, A Reference Guide.
[28] William T. Freeman,et al. Orientation Histograms for Hand Gesture Recognition , 1995 .
[29] Peng Zhao,et al. On Model Selection Consistency of Lasso , 2006, J. Mach. Learn. Res..
[30] L. Goddard. Information Theory , 1962, Nature.
[31] Le Song,et al. Supervised feature selection via dependence estimation , 2007, ICML '07.
[32] Thomas Martinetz,et al. Simple Method for High-Performance Digit Recognition Based on Sparse Coding , 2008, IEEE Transactions on Neural Networks.
[33] George C. Runger,et al. Feature Selection with Ensembles, Artificial Variables, and Redundancy Elimination , 2009, J. Mach. Learn. Res..
[34] Subhransu Maji,et al. Classification using intersection kernel support vector machines is efficient , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[35] Charles Elkan,et al. Quadratic Programming Feature Selection , 2010, J. Mach. Learn. Res..
[36] Bernt Schiele,et al. New features and insights for pedestrian detection , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[37] Shuicheng Yan,et al. An HOG-LBP human detector with partial occlusion handling , 2009, 2009 IEEE 12th International Conference on Computer Vision.
[38] Emmanuel J. Candès,et al. Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information , 2004, IEEE Transactions on Information Theory.
[39] Xiaoyang Tan,et al. Pattern Recognition , 2016, Communications in Computer and Information Science.