By Song X.
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Thirty years of graph matching in pattern recognition. International Journal of Pattern Recognition and Artificial Intelligence 18(3), 265–298 (2004) 4. : Behavior recognition via sparse spatiotemporal features. In: 2nd Joint IEEE International Workshop on Visual Surveillance and Performance Evaluation of Tracking and Surveillance, pp. 65–72. IEEE, Los Alamitos (2006) 5. : A survey of graph edit distance. Pattern Analysis & Applications 13(1), 113–129 (2010) 6. : Action Recognition Using Sparse Representation on Covariance Manifolds of Optical Flow 7.
Recognizing human actions: a local SVM approach. In: Proceedings of the 17th International Conference on Pattern Recognition, ICPR 2004, vol. 3 (2004) 19. : Recognizing and localizing individual activities through graph matching, pp. 196–203. IEEE Computer Society, Los Alamitos (2010) 20. : VLFeat: An open and portable library of computer vision algorithms (2008) 21. : Recognizing human action in time-sequential images using hidden Markov model. In: IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 1992.
18 J. Bushra, F. Eric, and L. Olivier References 1. : On gabor contribution to image enhancement. pattern recognition. Computer Methods and Programs in Biomedicine 27(1), 1–8 (1994) 2. : Scale space and edge detection using anisotropic diﬀusion. IEEE Transactions on Pattern Analysis, 629–639 (March 1990) 3. : Image selective smoothing and edge detection by nonlinear diﬀusion. Journal of Numerical Analysis 29, 845–866 (1992) 4. : Digital picture processing - an introduction. Springer, Heidelberg (1985) 5.
A marginal model approach for analysis of multi-reader multi-test receiver operating characteristic by Song X.