Interactive emotion recognition using Support Vector Machine for human-robot interaction
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[1] Haiyuan Wu,et al. A fuzzy-theory-based face detector , 1996, Proceedings of 13th International Conference on Pattern Recognition.
[2] Ioannis Pitas,et al. Extraction of facial regions and features using color and shape information , 1996, Proceedings of 13th International Conference on Pattern Recognition.
[3] S-H. Jeng,et al. Extraction Approach for Facial Feature Detection Using Geometrical Face Model , 1996 .
[4] Chih-Jen Lin,et al. LIBSVM: A library for support vector machines , 2011, TIST.
[6] Karl Pearson F.R.S.. LIII. On lines and planes of closest fit to systems of points in space , 1901 .
[7] Ah Chung Tsoi,et al. Face recognition: a convolutional neural-network approach , 1997, IEEE Trans. Neural Networks.
[8] Vladimir Vapnik,et al. Statistical learning theory , 1998 .
[9] Ming-Yang Chern,et al. An efficient approach for facial feature detection using geometrical face model , 1996, Proceedings of 13th International Conference on Pattern Recognition.
[10] Federico Girosi,et al. Support Vector Machines: Training and Applications , 1997 .
[11] Ulrich H.-G. Kreßel,et al. Pairwise classification and support vector machines , 1999 .
[12] Edward J. Delp,et al. Optimum color spaces for skin detection , 2001, Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205).
[13] M. Turk,et al. Eigenfaces for Recognition , 1991, Journal of Cognitive Neuroscience.
[14] Heng Tao Shen,et al. Principal Component Analysis , 2009, Encyclopedia of Biometrics.
[15] Federico Girosi,et al. Training support vector machines: an application to face detection , 1997, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[16] Corinna Cortes,et al. Support-Vector Networks , 1995, Machine Learning.
[17] H. Hotelling. Analysis of a complex of statistical variables into principal components. , 1933 .